From 9065a47770b4af4ecc80b6467ce5ebb0b78f66b6 Mon Sep 17 00:00:00 2001 From: Matt Archer Date: Wed, 11 Sep 2024 21:33:44 +0100 Subject: [PATCH 1/8] Apply Ruff autoformatter project-wide and rename densite.py to density.py --- lib/{densite.py => density.py} | 877 +++++++++++++++++---------------- lib/forecast.py | 676 +++++++++++++++---------- lib/restart.py | 553 ++++++++++++--------- 3 files changed, 1159 insertions(+), 947 deletions(-) rename lib/{densite.py => density.py} (53%) diff --git a/lib/densite.py b/lib/density.py similarity index 53% rename from lib/densite.py rename to lib/density.py index 8558edb..19cd984 100644 --- a/lib/densite.py +++ b/lib/density.py @@ -1,52 +1,49 @@ #!/usr/bin/env python -#======================================================================= +# ======================================================================= # General Documentation -"""Equation of state of Sea-water and related utilities. -""" +"""Equation of state of Sea-water and related utilities.""" -#----------------------------------------------------------------------- +# ----------------------------------------------------------------------- # Additional Documentation # # Modification History: # - Oct 2007: Original by Julien Le Sommer, LEGI/CNRS -# - Jun 2008: Include pressure related utilities, JLS. +# - Jun 2008: Include pressure related utilities, JLS. # - Jan 2009: Include potential_energy_anomaly, JLS # - Feb 2009: improve dosctrings, JLS # # Notes: # - Written for Python 2.3, tested with Python 2.4 and Python 2.5 # -# Copyright (c) 2007, 2008,2009 by Julien Le Sommer. -# For licensing, distribution conditions, contact information, -# and additional documentation see the URL +# Copyright (c) 2007, 2008,2009 by Julien Le Sommer. +# For licensing, distribution conditions, contact information, +# and additional documentation see the URL # http://www.legi.hmg.inpg.fr/~lesommer/PyDom/doc/. -#======================================================================= +# ======================================================================= +# ---------------- Module General Import and Declarations --------------- -#---------------- Module General Import and Declarations --------------- - -#- Set module version to package version: - -#import package_version -#__version__ = package_version.version -#__author__ = package_version.author -#__date__ = package_version.date -#del package_version - +# - Set module version to package version: +# import package_version +# __version__ = package_version.version +# __author__ = package_version.author +# __date__ = package_version.date +# del package_version import numpy as N import numpy as npy import math as m -#from PyDom.__param__ import * +# from PyDom.__param__ import * -#---------------- Core Functions --------------------------------------- +# ---------------- Core Functions --------------------------------------- rau0 = 10e3 # We added rau0 constant -def insitu(theta0,S,Z): + +def insitu(theta0, S, Z): """In-situ density (kg/m**3) Compute in-situ density from `insitu_anom` with @@ -54,19 +51,20 @@ def insitu(theta0,S,Z): Parameters ---------- - theta0 : numpy.array + theta0 : numpy.array potential temperature - S : numpy.array + S : numpy.array salinity Z : numpy.array pressure (dB) or depth (m) """ - rho = rau0 * insitu_anom(theta0,S,Z) + rau0 + rho = rau0 * insitu_anom(theta0, S, Z) + rau0 # return rho -def sigma_n_old(theta0,S,n): + +def sigma_n_old(theta0, S, n): """Potential density referenced to pressure n*1000dB (kg/m**3) Parameters @@ -79,17 +77,17 @@ def sigma_n_old(theta0,S,n): reference pressure / 1000 dB """ - if n==0: - return sig0(theta0,S) + if n == 0: + return sig0(theta0, S) else: - theta_n=theta0_2_theta_n(theta0,S,n) - dep=N.zeros(theta0.shape)+n*1000 - sig_n=insitu(theta_n,S,dep)-1000 - # - return sig_n + theta_n = theta0_2_theta_n(theta0, S, n) + dep = N.zeros(theta0.shape) + n * 1000 + sig_n = insitu(theta_n, S, dep) - 1000 + # + return sig_n -def sigma_n(theta0,S,n): +def sigma_n(theta0, S, n): """Potential density referenced to pressure n*1000dB (kg/m**3) Parameters @@ -101,77 +99,65 @@ def sigma_n(theta0,S,n): n : int reference pressure / 1000 dB - Method + Method ------ A.-M. Treguier """ # - dpr4=4.8314e-4 - dpd=-2.042967e-2 - dprau0 = 1000. - pref = n * 1000. + dpr4 = 4.8314e-4 + dpd = -2.042967e-2 + dprau0 = 1000.0 + pref = n * 1000.0 dlref = pref - #sigmai = 0.*theta0 + # sigmai = 0.*theta0 dlrs = N.sqrt(N.abs(S)) dlt = theta0 dls = S # Compute the volumic mass of pure water at atmospheric pressure. - dlr1=((((6.536332e-9*dlt-1.120083e-6)\ - *dlt+1.001685e-4)\ - *dlt-9.095290e-3)\ - *dlt+6.793952e-2)\ - *dlt+999.842594e0 + dlr1 = ( + (((6.536332e-9 * dlt - 1.120083e-6) * dlt + 1.001685e-4) * dlt - 9.095290e-3) + * dlt + + 6.793952e-2 + ) * dlt + 999.842594e0 # Compute the seawater volumic mass at atmospheric pressure. - dlr2=(((5.3875e-9*dlt-8.2467e-7)\ - *dlt+7.6438e-5)\ - *dlt-4.0899e-3)\ - *dlt+0.824493e0 + dlr2 = ( + ((5.3875e-9 * dlt - 8.2467e-7) * dlt + 7.6438e-5) * dlt - 4.0899e-3 + ) * dlt + 0.824493e0 - dlr3=(-1.6546e-6*dlt+1.0227e-4)\ - *dlt-5.72466e-3 + dlr3 = (-1.6546e-6 * dlt + 1.0227e-4) * dlt - 5.72466e-3 # Compute the potential volumic mass (referenced to the surface). - dlrhop=(dpr4*dls+dlr3*dlrs+dlr2)*dls+dlr1 + dlrhop = (dpr4 * dls + dlr3 * dlrs + dlr2) * dls + dlr1 # Compute the compression terms. - dle=(-3.508914e-8*dlt-1.248266e-8)\ - *dlt-2.595994e-6 + dle = (-3.508914e-8 * dlt - 1.248266e-8) * dlt - 2.595994e-6 - dlbw=(1.296821e-6*dlt-5.782165e-9)\ - *dlt+1.045941e-4 + dlbw = (1.296821e-6 * dlt - 5.782165e-9) * dlt + 1.045941e-4 - dlb=dlbw+dle*dls + dlb = dlbw + dle * dls - dlc=(-7.267926e-5*dlt+2.598241e-3)\ - *dlt+0.1571896e0 + dlc = (-7.267926e-5 * dlt + 2.598241e-3) * dlt + 0.1571896e0 - dlaw=((5.939910e-6*dlt+2.512549e-3)\ - *dlt-0.1028859e0)\ - *dlt-4.721788e0 + dlaw = ((5.939910e-6 * dlt + 2.512549e-3) * dlt - 0.1028859e0) * dlt - 4.721788e0 - dla=(dpd*dlrs+dlc)*dls+dlaw + dla = (dpd * dlrs + dlc) * dls + dlaw - dlb1=(-0.1909078e0*dlt+7.390729e0)\ - *dlt-55.87545e0 + dlb1 = (-0.1909078e0 * dlt + 7.390729e0) * dlt - 55.87545e0 - dla1=((2.326469e-3*dlt+1.553190e0)\ - *dlt-65.00517e0)\ - *dlt+1044.077e0 + dla1 = ((2.326469e-3 * dlt + 1.553190e0) * dlt - 65.00517e0) * dlt + 1044.077e0 - dlkw=(((-1.361629e-4*dlt-1.852732e-2)\ - *dlt-30.41638e0)\ - *dlt+2098.925e0)\ - *dlt+190925.6e0 + dlkw = ( + ((-1.361629e-4 * dlt - 1.852732e-2) * dlt - 30.41638e0) * dlt + 2098.925e0 + ) * dlt + 190925.6e0 - dlk0=(dlb1*dlrs+dla1)*dls+dlkw + dlk0 = (dlb1 * dlrs + dla1) * dls + dlkw # Compute the potential density anomaly. - sigmai=dlrhop/(1.0e0-dlref/(dlk0-dlref*(dla-dlref*dlb)))\ - -dprau0 + sigmai = dlrhop / (1.0e0 - dlref / (dlk0 - dlref * (dla - dlref * dlb))) - dprau0 return sigmai -def sig0(theta0,S): +def sig0(theta0, S): """Surface referenced potential density (kg/m**3) Parameters @@ -186,12 +172,12 @@ def sig0(theta0,S): Use `insitu` """ - dep=N.zeros(theta0.shape) - sig=insitu(theta0,S,dep)-1000 + dep = N.zeros(theta0.shape) + sig = insitu(theta0, S, dep) - 1000 return sig -def insitu_anom(theta0,S,Z): +def insitu_anom(theta0, S, Z): """In-situ density anomaly. In situ density is computed directly as a function of @@ -206,7 +192,7 @@ def insitu_anom(theta0,S,Z): Z : numpy.array pressure (dB) or depth (m) - Notes + Notes ----- We use Jackett and McDougall (1995)'s [1]_ equation of state. the in situ density is computed directly as a function of @@ -230,7 +216,7 @@ def insitu_anom(theta0,S,Z): - in situ volumic mass rho kg/m**3 - in situ density anomaly prd no units - + Examples -------- >>> insitu(40,40,10000) @@ -238,56 +224,58 @@ def insitu_anom(theta0,S,Z): References ---------- - .. [1] Jackett, D. R., and T. J. McDougall, Minimal adjustment of - hydrographic profiles to achieve static stability, J. Atmos. - Ocean. Technol., 12(4), 381-389, 1995. + .. [1] Jackett, D. R., and T. J. McDougall, Minimal adjustment of + hydrographic profiles to achieve static stability, J. Atmos. + Ocean. Technol., 12(4), 381-389, 1995. """ + zsr = N.sqrt(N.abs(S)) + zt = theta0 + zs = S + zh = Z - - zsr=N.sqrt(N.abs(S)) - zt=theta0 - zs=S - zh=Z - # compute volumic mass pure water at atm pressure - zr1= ( ( ( ( 6.536332e-9*zt-1.120083e-6 )*zt+1.001685e-4)*zt - -9.095290e-3 )*zt+6.793952e-2 )*zt+999.842594 + zr1 = ( + (((6.536332e-9 * zt - 1.120083e-6) * zt + 1.001685e-4) * zt - 9.095290e-3) * zt + + 6.793952e-2 + ) * zt + 999.842594 # seawater volumic mass atm pressure - zr2= ( ( ( 5.3875e-9*zt-8.2467e-7 ) *zt+7.6438e-5 ) *zt - -4.0899e-3 ) *zt+0.824493 - zr3= ( -1.6546e-6*zt+1.0227e-4 ) *zt-5.72466e-3 - zr4= 4.8314e-4 + zr2 = ( + ((5.3875e-9 * zt - 8.2467e-7) * zt + 7.6438e-5) * zt - 4.0899e-3 + ) * zt + 0.824493 + zr3 = (-1.6546e-6 * zt + 1.0227e-4) * zt - 5.72466e-3 + zr4 = 4.8314e-4 # potential volumic mass (reference to the surface) - zrhop= ( zr4*zs + zr3*zsr + zr2 ) *zs + zr1 + zrhop = (zr4 * zs + zr3 * zsr + zr2) * zs + zr1 # add the compression terms - ze = ( -3.508914e-8*zt-1.248266e-8 ) *zt-2.595994e-6 - zbw= ( 1.296821e-6*zt-5.782165e-9 ) *zt+1.045941e-4 + ze = (-3.508914e-8 * zt - 1.248266e-8) * zt - 2.595994e-6 + zbw = (1.296821e-6 * zt - 5.782165e-9) * zt + 1.045941e-4 zb = zbw + ze * zs zd = -2.042967e-2 - zc = (-7.267926e-5*zt+2.598241e-3 ) *zt+0.1571896 - zaw= ( ( 5.939910e-6*zt+2.512549e-3 ) *zt-0.1028859 ) *zt - 4.721788 - za = ( zd*zsr + zc ) *zs + zaw + zc = (-7.267926e-5 * zt + 2.598241e-3) * zt + 0.1571896 + zaw = ((5.939910e-6 * zt + 2.512549e-3) * zt - 0.1028859) * zt - 4.721788 + za = (zd * zsr + zc) * zs + zaw - zb1= (-0.1909078*zt+7.390729 ) *zt-55.87545 - za1= ( ( 2.326469e-3*zt+1.553190)*zt-65.00517 ) *zt+1044.077 - zkw= ( ( (-1.361629e-4*zt-1.852732e-2 ) *zt-30.41638 ) - *zt + 2098.925 ) *zt+190925.6 - zk0= ( zb1*zsr + za1 )*zs + zkw + zb1 = (-0.1909078 * zt + 7.390729) * zt - 55.87545 + za1 = ((2.326469e-3 * zt + 1.553190) * zt - 65.00517) * zt + 1044.077 + zkw = ( + ((-1.361629e-4 * zt - 1.852732e-2) * zt - 30.41638) * zt + 2098.925 + ) * zt + 190925.6 + zk0 = (zb1 * zsr + za1) * zs + zkw - prd=( zrhop / ( 1.0 - zh / ( zk0 - zh * ( za - zh * zb ) ) ) - - rau0 ) / rau0 + prd = (zrhop / (1.0 - zh / (zk0 - zh * (za - zh * zb))) - rau0) / rau0 return prd -def delta(t,s,p): + +def delta(t, s, p): """Specific volume anomaly. - Specific volume anomaly with respect to a standart ocean + Specific volume anomaly with respect to a standart ocean of salinity S = Sstd and T = Tstd. Parameters @@ -299,15 +287,16 @@ def delta(t,s,p): p : numpy.array pressure (dB) or depth (m) - References + References ---------- see e.g. page 2188 of Watts et al. JPO, 2001. """ - delta = 1. / insitu(t,s,p) - 1. / insitu(Tstd, Sstd, p) + delta = 1.0 / insitu(t, s, p) - 1.0 / insitu(Tstd, Sstd, p) return delta -def spice(t,s): + +def spice(t, s): """Spiciness. A state variable for characterizing water masses and their @@ -320,8 +309,8 @@ def spice(t,s): s : numpy.array salinity - Notes - ----- + Notes + ----- following Flament (2002) [1]_. We could also have used [2]_. **caution** This state variable is only valid close to the surface. @@ -332,74 +321,74 @@ def spice(t,s): References ---------- - .. [1] Flament (2002) A state variable for characterizing water - masses and their diffusive stability: spiciness. Progress + .. [1] Flament (2002) A state variable for characterizing water + masses and their diffusive stability: spiciness. Progress in Oceanography Volume 54, 2002, Pages 493-501. .. [2] Jackett and McDougall, Deep Sea Research, 32A, 1195-1208, 1985. Examples -------- >>> spice(15,33) - 0.54458641375 + 0.54458641375 """ - B = numpy.zeros((7,6)) - B[1,1] = 0 - B[1,2] = 7.7442e-001 - B[1,3] = -5.85e-003 - B[1,4] = -9.84e-004 - B[1,5] = -2.06e-004 - - B[2,1] = 5.1655e-002 - B[2,2] = 2.034e-003 - B[2,3] = -2.742e-004 - B[2,4] = -8.5e-006 - B[2,5] = 1.36e-005 - - B[3,1] = 6.64783e-003 - B[3,2] = -2.4681e-004 - B[3,3] = -1.428e-005 - B[3,4] = 3.337e-005 - B[3,5] = 7.894e-006 - - B[4,1] = -5.4023e-005 - B[4,2] = 7.326e-006 - B[4,3] = 7.0036e-006 - B[4,4] = -3.0412e-006 - B[4,5] = -1.0853e-006 - - B[5,1] = 3.949e-007 - B[5,2] = -3.029e-008 - B[5,3] = -3.8209e-007 - B[5,4] = 1.0012e-007 - B[5,5] = 4.7133e-008 - - B[6,1] = -6.36e-010 - B[6,2] = -1.309e-009 - B[6,3] = 6.048e-009 - B[6,4] = -1.1409e-009 - B[6,5] = -6.676e-010 - # + B = numpy.zeros((7, 6)) + B[1, 1] = 0 + B[1, 2] = 7.7442e-001 + B[1, 3] = -5.85e-003 + B[1, 4] = -9.84e-004 + B[1, 5] = -2.06e-004 + + B[2, 1] = 5.1655e-002 + B[2, 2] = 2.034e-003 + B[2, 3] = -2.742e-004 + B[2, 4] = -8.5e-006 + B[2, 5] = 1.36e-005 + + B[3, 1] = 6.64783e-003 + B[3, 2] = -2.4681e-004 + B[3, 3] = -1.428e-005 + B[3, 4] = 3.337e-005 + B[3, 5] = 7.894e-006 + + B[4, 1] = -5.4023e-005 + B[4, 2] = 7.326e-006 + B[4, 3] = 7.0036e-006 + B[4, 4] = -3.0412e-006 + B[4, 5] = -1.0853e-006 + + B[5, 1] = 3.949e-007 + B[5, 2] = -3.029e-008 + B[5, 3] = -3.8209e-007 + B[5, 4] = 1.0012e-007 + B[5, 5] = 4.7133e-008 + + B[6, 1] = -6.36e-010 + B[6, 2] = -1.309e-009 + B[6, 3] = 6.048e-009 + B[6, 4] = -1.1409e-009 + B[6, 5] = -6.676e-010 + # t = numpy.array(t) s = numpy.array(s) # - coefs = B[1:7,1:6] + coefs = B[1:7, 1:6] sp = numpy.zeros(t.shape) - ss = s - 35. + ss = s - 35.0 bigT = numpy.ones(t.shape) for i in range(6): bigS = numpy.ones(t.shape) for j in range(5): - sp+= coefs[i,j]*bigT*bigS - bigS*= ss - bigT*=t + sp += coefs[i, j] * bigT * bigS + bigS *= ss + bigT *= t return sp -def lapse_rate(t,s,p): +def lapse_rate(t, s, p): """Adiabatic lapse rate (deg C/dBar). - - Adiabatic lapse rate (deg C/dBar) from salinity (psu), + + Adiabatic lapse rate (deg C/dBar) from salinity (psu), temperature (deg C) and pressure (dbar) Parameters @@ -412,37 +401,37 @@ def lapse_rate(t,s,p): pressure (dbar) - Notes + Notes ----- - This calculator is based on an algorithm for the speed of sound + This calculator is based on an algorithm for the speed of sound published by Chen and Millero (1977) [1]_. - - The underlying equations are valid for temperatures from -2 to 35 deg C, - pressures from 0 to 10,000 dbar, + + The underlying equations are valid for temperatures from -2 to 35 deg C, + pressures from 0 to 10,000 dbar, and practical salinity from 2 to 42. - - See also + + See also -------- http://fermi.jhuapl.edu/denscalc/spdcalc.html - + References ---------- .. [1] Chen and Millero, Speed of sound in seawater at high pressures, J. Acoust. Soc. Am., Vol. 62, No. 5, 1129-1135, Nov 1977. - """ + """ # ds = s - 35.0 atg = ((-2.1687e-16 * t + 1.8676e-14) * t - 4.6206e-13) * p * p - atg+= (2.7759e-12 * t - 1.1351e-10 ) * ds * p - atg+= (((-5.4481e-14 * t + 8.7330e-12) * t - 6.7795e-10) * t + 1.8741e-8) * p - atg+= (-4.2393e-8 * t + 1.8932e-6 ) * ds - atg+= ((6.6228e-10 * t - 6.8360e-8) * t + 8.5258e-6) * t + 3.5803e-5 + atg += (2.7759e-12 * t - 1.1351e-10) * ds * p + atg += (((-5.4481e-14 * t + 8.7330e-12) * t - 6.7795e-10) * t + 1.8741e-8) * p + atg += (-4.2393e-8 * t + 1.8932e-6) * ds + atg += ((6.6228e-10 * t - 6.8360e-8) * t + 8.5258e-6) * t + 3.5803e-5 return atg -def theta_n(theta0,s,n): - """Potential temperature. +def theta_n(theta0, s, n): + """Potential temperature. Potential temperature with reference pressure n x 1000dB @@ -455,14 +444,15 @@ def theta_n(theta0,s,n): n : int reference pressure / 1000 dB - """ - Pr=n*1000 - theta=theta0_2_theta(theta0,s,Pr) - return theta + """ + Pr = n * 1000 + theta = theta0_2_theta(theta0, s, Pr) + return theta + -def theta0_2_theta_n(theta0,s,Pr): +def theta0_2_theta_n(theta0, s, Pr): """Potential temperature. - + Potential temperature with reference pressure Pr. Parameters @@ -479,17 +469,17 @@ def theta0_2_theta_n(theta0,s,Pr): **caution** This function uses a very rough estimate of potential temperature """ - P0=0 - dP=Pr-P0 - dT= dP*lapse_rate(theta0,s,(Pr+P0)/2.) - theta_n=theta0+dT + P0 = 0 + dP = Pr - P0 + dT = dP * lapse_rate(theta0, s, (Pr + P0) / 2.0) + theta_n = theta0 + dT ## # # print '********************************************************************' ## # print ' theta0_2_theta_n is now deprecated. Please do not use it.' ## # print '********************************************************************' return theta_n -def beta(theta0,s,p): +def beta(theta0, s, p): """Haline contraction coeficient beta. Haline contraction coeficient (unit : 1/psu) from McDougall (1987) [1]_ @@ -503,31 +493,33 @@ def beta(theta0,s,p): p : numpy.array pressure (dB) or depth (m) - Notes + Notes ----- adapted from McDougall (1987) [1]_. - - References + + References ---------- - .. [1] McDougall, Neutral surfaces - Journal of Physical Oceanography, - vol.17,pp.1950-1964, 1987. - - """ - th=theta0 - beta = 0.785567E-3 - 0.301985E-5*th - beta+= 0.555579E-7*th**2 - 0.415613E-9*th**3 - beta+=(s-35.0)*(-0.356603E-6 + 0.788212E-8*th \ - + 0.408195E-10*p - 0.602281E-15*p**2) - beta+=(s-35.0)**2*0.515032E-8 + p*(-0.121555E-7 \ - + 0.192867E-9*th - 0.213127E-11*th**2) - beta+= p**2*(0.176621E-12 - 0.175379E-14*th) + p**3*(0.121551E-17) + .. [1] McDougall, Neutral surfaces - Journal of Physical Oceanography, + vol.17,pp.1950-1964, 1987. + + """ + th = theta0 + beta = 0.785567e-3 - 0.301985e-5 * th + beta += 0.555579e-7 * th**2 - 0.415613e-9 * th**3 + beta += (s - 35.0) * ( + -0.356603e-6 + 0.788212e-8 * th + 0.408195e-10 * p - 0.602281e-15 * p**2 + ) + beta += (s - 35.0) ** 2 * 0.515032e-8 + p * ( + -0.121555e-7 + 0.192867e-9 * th - 0.213127e-11 * th**2 + ) + beta += p**2 * (0.176621e-12 - 0.175379e-14 * th) + p**3 * (0.121551e-17) return beta -def alpha_over_beta(theta0,s,p): +def alpha_over_beta(theta0, s, p): """Thermal expansion to haline contraction ratio. - Ratio of the thermal expansion coefficient to the saline + Ratio of the thermal expansion coefficient to the saline contraction coeficient (unit: psu/deg). Parameters @@ -549,19 +541,20 @@ def alpha_over_beta(theta0,s,p): vol.17,pp.1950-1964, 1987. """ - th=theta0 - ab= 0.665157E-1 + 0.170907E-1*th - ab+= -0.203814E-3*th**2 + 0.298357E-5*th**3 \ - - 0.255019E-7*th**4 - ab+= (s-35.0)*(0.378110E-2 - 0.846960E-4*th \ - - 0.164759E-6*p - 0.251520E-11*p**2) - ab+= (s-35.0)**2*(-0.678662E-5) + p*(0.380374E-4 \ - - 0.933746E-6*th + 0.791325E-8*th**2) - ab+= 0.512857E-12*p**2*th**2 - 0.302285E-13*p**3 + th = theta0 + ab = 0.665157e-1 + 0.170907e-1 * th + ab += -0.203814e-3 * th**2 + 0.298357e-5 * th**3 - 0.255019e-7 * th**4 + ab += (s - 35.0) * ( + 0.378110e-2 - 0.846960e-4 * th - 0.164759e-6 * p - 0.251520e-11 * p**2 + ) + ab += (s - 35.0) ** 2 * (-0.678662e-5) + p * ( + 0.380374e-4 - 0.933746e-6 * th + 0.791325e-8 * th**2 + ) + ab += 0.512857e-12 * p**2 * th**2 - 0.302285e-13 * p**3 return ab -def alpha(theta0,s,p): +def alpha(theta0, s, p): """Thermal expansion coefficient. Thermal expansion coeficient (unit : 1/deg) from McDougall (1987) [1]_ @@ -581,16 +574,18 @@ def alpha(theta0,s,p): vol.17,pp.1950-1964, 1987. """ - alpha=beta(theta0,s,p)*alpha_over_beta(theta0,s,p) + alpha = beta(theta0, s, p) * alpha_over_beta(theta0, s, p) return alpha -#---------------- Derivatives of Core Funtions --------------------------- -def rhoalpha(theta0,s,p): +# ---------------- Derivatives of Core Funtions --------------------------- + + +def rhoalpha(theta0, s, p): """rho x alpha. Return the product rho x alpha. - + Parameters ---------- theta0 : numpy.array @@ -601,11 +596,12 @@ def rhoalpha(theta0,s,p): pressure (dB) or depth (m) """ - zrho = insitu(theta0,s,p) - za = alpha(theta0,s,p) + zrho = insitu(theta0, s, p) + za = alpha(theta0, s, p) return zrho * za -def rhobeta(theta0,s,p): + +def rhobeta(theta0, s, p): """rho x beta. Return the product rho x beta. @@ -620,11 +616,12 @@ def rhobeta(theta0,s,p): pressure (dB) or depth (m) """ - zrho = insitu(theta0,s,p) - zb = beta(theta0,s,p) + zrho = insitu(theta0, s, p) + zb = beta(theta0, s, p) return zrho * zb -def beta_p(theta0,s,p): + +def beta_p(theta0, s, p): """Partial derivative of beta with respect to pressure. Parameters @@ -641,16 +638,14 @@ def beta_p(theta0,s,p): analytic derivation of McDougall (1987)'s formula. """ - th=theta0 - zbeta_p=(s-35.0)*( 0.408195E-10 - 0.602281E-15*p*2) - zbeta_p+=+ (-0.121555E-7 + 0.192867E-9*th \ - - 0.213127E-11*th**2) - zbeta_p+= 2*p*(0.176621E-12 - 0.175379E-14*th) \ - + 3*p**2*(0.121551E-17) + th = theta0 + zbeta_p = (s - 35.0) * (0.408195e-10 - 0.602281e-15 * p * 2) + zbeta_p += +(-0.121555e-7 + 0.192867e-9 * th - 0.213127e-11 * th**2) + zbeta_p += 2 * p * (0.176621e-12 - 0.175379e-14 * th) + 3 * p**2 * (0.121551e-17) return zbeta_p -def rho_p(theta0,s,p): +def rho_p(theta0, s, p): """Partial derivative of in situ density with respect to pressure. Parameters @@ -667,49 +662,53 @@ def rho_p(theta0,s,p): analytic derivation of Jackett and McDougall (1995)'s formula. """ - zsr=N.sqrt(N.abs(s)) - zt=theta0 - zs=s - zh=p + zsr = N.sqrt(N.abs(s)) + zt = theta0 + zs = s + zh = p # compute volumic mass pure water at atm pressure - zr1= ( ( ( ( 6.536332e-9*zt-1.120083e-6 )*zt+1.001685e-4)*zt - -9.095290e-3 )*zt+6.793952e-2 )*zt+999.842594 + zr1 = ( + (((6.536332e-9 * zt - 1.120083e-6) * zt + 1.001685e-4) * zt - 9.095290e-3) * zt + + 6.793952e-2 + ) * zt + 999.842594 # seawater volumic mass atm pressure - zr2= ( ( ( 5.3875e-9*zt-8.2467e-7 ) *zt+7.6438e-5 ) *zt - -4.0899e-3 ) *zt+0.824493 - zr3= ( -1.6546e-6*zt+1.0227e-4 ) *zt-5.72466e-3 - zr4= 4.8314e-4 + zr2 = ( + ((5.3875e-9 * zt - 8.2467e-7) * zt + 7.6438e-5) * zt - 4.0899e-3 + ) * zt + 0.824493 + zr3 = (-1.6546e-6 * zt + 1.0227e-4) * zt - 5.72466e-3 + zr4 = 4.8314e-4 # potential volumic mass (reference to the surface) - zrhop= ( zr4*zs + zr3*zsr + zr2 ) *zs + zr1 + zrhop = (zr4 * zs + zr3 * zsr + zr2) * zs + zr1 # add the compression terms - ze = ( -3.508914e-8*zt-1.248266e-8 ) *zt-2.595994e-6 - zbw= ( 1.296821e-6*zt-5.782165e-9 ) *zt+1.045941e-4 + ze = (-3.508914e-8 * zt - 1.248266e-8) * zt - 2.595994e-6 + zbw = (1.296821e-6 * zt - 5.782165e-9) * zt + 1.045941e-4 zb = zbw + ze * zs zd = -2.042967e-2 - zc = (-7.267926e-5*zt+2.598241e-3 ) *zt+0.1571896 - zaw= ( ( 5.939910e-6*zt+2.512549e-3 ) *zt-0.1028859 ) *zt - 4.721788 - za = ( zd*zsr + zc ) *zs + zaw - - zb1= (-0.1909078*zt+7.390729 ) *zt-55.87545 - za1= ( ( 2.326469e-3*zt+1.553190)*zt-65.00517 ) *zt+1044.077 - zkw= ( ( (-1.361629e-4*zt-1.852732e-2 ) *zt-30.41638 ) - *zt + 2098.925 ) *zt+190925.6 - zk0= ( zb1*zsr + za1 )*zs + zkw - - #zrho= zrhop / ( 1.0 - zh / ( zk0 - zh * ( za - zh * zb ) ) ) - zk= zk0 - zh * ( za - zh * zb ) - zu=zh/zk - zk_p = -za + 2*zh * zb - zu_p=( 1 - ( zh/zk ) * zk_p ) / zk - zrho_p=(zrhop / ( 1.0 - zu )**2 ) * zu_p + zc = (-7.267926e-5 * zt + 2.598241e-3) * zt + 0.1571896 + zaw = ((5.939910e-6 * zt + 2.512549e-3) * zt - 0.1028859) * zt - 4.721788 + za = (zd * zsr + zc) * zs + zaw + + zb1 = (-0.1909078 * zt + 7.390729) * zt - 55.87545 + za1 = ((2.326469e-3 * zt + 1.553190) * zt - 65.00517) * zt + 1044.077 + zkw = ( + ((-1.361629e-4 * zt - 1.852732e-2) * zt - 30.41638) * zt + 2098.925 + ) * zt + 190925.6 + zk0 = (zb1 * zsr + za1) * zs + zkw + + # zrho= zrhop / ( 1.0 - zh / ( zk0 - zh * ( za - zh * zb ) ) ) + zk = zk0 - zh * (za - zh * zb) + zu = zh / zk + zk_p = -za + 2 * zh * zb + zu_p = (1 - (zh / zk) * zk_p) / zk + zrho_p = (zrhop / (1.0 - zu) ** 2) * zu_p return zrho_p -def Tb(theta0,s,p): +def Tb(theta0, s, p): """Thermobaric parameter Tb. Parameters @@ -721,7 +720,7 @@ def Tb(theta0,s,p): p : numpy.array pressure (dB) or depth (m) - Notes + Notes ----- Tb = beta*(alpha/beta)_p = alpha_p - (alpha/beta)*beta_p @@ -729,10 +728,11 @@ def Tb(theta0,s,p): """ # # # # print 'eos.Tb has not been checked yet...' - return beta(theta0,s,p)*alpha_over_beta_p(theta0,s,p) - #return alpha_p(theta0,s,p)-alpha_over_beta(theta0,s,p)*beta_p(theta0,s,p) + return beta(theta0, s, p) * alpha_over_beta_p(theta0, s, p) + # return alpha_p(theta0,s,p)-alpha_over_beta(theta0,s,p)*beta_p(theta0,s,p) + -def alpha_over_beta_p(theta0,s,p): +def alpha_over_beta_p(theta0, s, p): """Partial derivative of alpha/beta with respect to pressure. Parameters @@ -749,13 +749,14 @@ def alpha_over_beta_p(theta0,s,p): analytic derivation of McDougall (1987)'s formula. """ - th=theta0 - zab_p= (s-35.0)*( - 0.164759E-6 - 0.251520E-11*2*p) - zab_p+= (0.380374E-4 - 0.933746E-6*th + 0.791325E-8*th**2) - zab_p+= 0.512857E-12*2*p*th**2 - 0.302285E-13*3*p**2 - return zab_p + th = theta0 + zab_p = (s - 35.0) * (-0.164759e-6 - 0.251520e-11 * 2 * p) + zab_p += 0.380374e-4 - 0.933746e-6 * th + 0.791325e-8 * th**2 + zab_p += 0.512857e-12 * 2 * p * th**2 - 0.302285e-13 * 3 * p**2 + return zab_p -def alpha_p(theta0,s,p): + +def alpha_p(theta0, s, p): """Partial derivative of alpha with respect to pressure. Parameters @@ -767,19 +768,19 @@ def alpha_p(theta0,s,p): p : numpy.array pressure (dB) or depth (m) - Notes + Notes ----- computes alpha_p = (alpha/beta)_p * beta + beta_p * (alpha/beta) """ - zb = beta(theta0,s,p) - zb_p = beta_p(theta0,s,p) - zab = alpha_over_beta(theta0,s,p) - zab_p = alpha_over_beta_p(theta0,s,p) - return zab_p * zb + zab * zb_p + zb = beta(theta0, s, p) + zb_p = beta_p(theta0, s, p) + zab = alpha_over_beta(theta0, s, p) + zab_p = alpha_over_beta_p(theta0, s, p) + return zab_p * zb + zab * zb_p -def rhobeta_p(theta0,s,p): +def rhobeta_p(theta0, s, p): """Partial derivative of rho*beta with respect to pressure. Parameters @@ -792,13 +793,14 @@ def rhobeta_p(theta0,s,p): pressure (dB) or depth (m) """ - zrho= insitu(theta0,s,p) - zbeta= beta(theta0,s,p) - zbeta_p= beta_p(theta0,s,p) - zrho_p= rho_p(theta0,s,p) - return zrho*zbeta_p+zbeta*zrho_p + zrho = insitu(theta0, s, p) + zbeta = beta(theta0, s, p) + zbeta_p = beta_p(theta0, s, p) + zrho_p = rho_p(theta0, s, p) + return zrho * zbeta_p + zbeta * zrho_p -def rhoalpha_p(theta0,s,p): + +def rhoalpha_p(theta0, s, p): """Partial derivative of rho*alpha with respect to pressure. Parameters @@ -811,16 +813,16 @@ def rhoalpha_p(theta0,s,p): pressure (dB) or depth (m) """ - zrhobeta= rhobeta(theta0,s,p) - zab= alpha_over_beta(theta0,s,p) - zrhobeta_p= rhobeta_p(theta0,s,p) - zab_p= alpha_over_beta_p(theta0,s,p) - return zrhobeta*zab_p+zab*zrhobeta_p + zrhobeta = rhobeta(theta0, s, p) + zab = alpha_over_beta(theta0, s, p) + zrhobeta_p = rhobeta_p(theta0, s, p) + zab_p = alpha_over_beta_p(theta0, s, p) + return zrhobeta * zab_p + zab * zrhobeta_p -#---------------- Functions involving Derivatives or integrals -------------- -#- ie : "dom" dependent utilities. -def bn2(dom,theta0,S): +# ---------------- Functions involving Derivatives or integrals -------------- +# - ie : "dom" dependent utilities. +def bn2(dom, theta0, S): """Brunt-Vaissala frequency. Brunt-Vaissala frequency on the w-grid. @@ -841,31 +843,32 @@ def bn2(dom,theta0,S): N2 = grav*(alpha d_z theta - beta d_z S). """ - ralpha= alpha(theta0,S,dom.depthT_3D) - rbeta= beta(theta0,S,dom.depthT_3D) - ra=dom.lamVz(ralpha,dom.dro_z(theta0)) - rb=dom.lamVz(rbeta,dom.dro_z(S)) - gz=grav*(ra-rb) - mgz=dom.set_mask(gz,dom.wmask) + ralpha = alpha(theta0, S, dom.depthT_3D) + rbeta = beta(theta0, S, dom.depthT_3D) + ra = dom.lamVz(ralpha, dom.dro_z(theta0)) + rb = dom.lamVz(rbeta, dom.dro_z(S)) + gz = grav * (ra - rb) + mgz = dom.set_mask(gz, dom.wmask) return mgz -def isoslope(dom,theta0,S): - """Slope of isopycnals. - """ - ralpha= alpha(theta0,S,dom.depthT_3D) - rbeta= beta(theta0,S,dom.depthT_3D) - tx,ty,tz = dom.grad3D(theta0) - sx,sy,sz = dom.grad3D(S) - atx,aty,atz = dom.lamV(ralpha,(tx,ty,tz)) - bsx,bsy,bsz = dom.lamV(rbeta,(sx,sy,sz)) - ghsig = (atx-bsx,aty-bsy,0. * atz) + +def isoslope(dom, theta0, S): + """Slope of isopycnals.""" + ralpha = alpha(theta0, S, dom.depthT_3D) + rbeta = beta(theta0, S, dom.depthT_3D) + tx, ty, tz = dom.grad3D(theta0) + sx, sy, sz = dom.grad3D(S) + atx, aty, atz = dom.lamV(ralpha, (tx, ty, tz)) + bsx, bsy, bsz = dom.lamV(rbeta, (sx, sy, sz)) + ghsig = (atx - bsx, aty - bsy, 0.0 * atz) gzsig = atz - bsz ngh = N.sqrt(dom.normV(ghsig)) - denom = dom.gridW_2_gridT(gzsig) - s = dom.set_mask(ngh / denom,dom.tmask) + denom = dom.gridW_2_gridT(gzsig) + s = dom.set_mask(ngh / denom, dom.tmask) return s -def Gz(dom,theta0,S): + +def Gz(dom, theta0, S): """Vertical component of the neutral vector. Vertical component of the neutral vector on the w-grid. @@ -880,18 +883,16 @@ def Gz(dom,theta0,S): salinity """ - ralpha= rhoalpha(theta0,S,dom.depthT_3D) - rbeta= rhobeta(theta0,S,dom.depthT_3D) - ra=dom.lamVz(ralpha,dom.dro_z(theta0)) - rb=dom.lamVz(rbeta,dom.dro_z(S)) - gz=(ra-rb) - mgz=dom.set_mask(gz,dom.wmask) + ralpha = rhoalpha(theta0, S, dom.depthT_3D) + rbeta = rhobeta(theta0, S, dom.depthT_3D) + ra = dom.lamVz(ralpha, dom.dro_z(theta0)) + rb = dom.lamVz(rbeta, dom.dro_z(S)) + gz = ra - rb + mgz = dom.set_mask(gz, dom.wmask) return mgz - - -def hydrostatic(dom,T=None,S=None,rho=None,p0=1E5): +def hydrostatic(dom, T=None, S=None, rho=None, p0=1e5): """Hydrostatic pressure (Pa). Parameters @@ -902,15 +903,15 @@ def hydrostatic(dom,T=None,S=None,rho=None,p0=1E5): potential temperature S : numpy.array salinity - rho : numpy.array, optional + rho : numpy.array, optional in situ density - p0 : numpy.array + p0 : numpy.array surface pressure - Notes + Notes ----- according to \partial_z P = - \rho g - + **caution** P unit is Pa (1 dbar = 1e4 Pascal) """ @@ -918,29 +919,30 @@ def hydrostatic(dom,T=None,S=None,rho=None,p0=1E5): jpk = dom.jpk # ph = N.zeros(dom.tmask.shape) - if rho is not None: - arho = (rho - rau0) / rau0 - else: - arho = insitu_anom(T,S,dom.depthT_3D) + if rho is not None: + arho = (rho - rau0) / rau0 + else: + arho = insitu_anom(T, S, dom.depthT_3D) # - ph[...,0,:,:] = grav * dom.depthT_3D[0,:,:] * arho[...,0,:,:] - ph[...,1:jpk,:,:] = grav * dom.m_k(arho) * dom.e3w_3D[1:jpk,:,:] + ph[..., 0, :, :] = grav * dom.depthT_3D[0, :, :] * arho[..., 0, :, :] + ph[..., 1:jpk, :, :] = grav * dom.m_k(arho) * dom.e3w_3D[1:jpk, :, :] ph = ph.cumsum(axis=-3) - ph*= rau0 - ph+= rau0 * grav * dom.depthT_3D - ph+= p0 - ph= dom.set_mask(ph,dom.tmask) + ph *= rau0 + ph += rau0 * grav * dom.depthT_3D + ph += p0 + ph = dom.set_mask(ph, dom.tmask) return ph -def surface(dom,ssh,rho=rau0): + +def surface(dom, ssh, rho=rau0): """Surface pressure associated with sea surface height. Parameters ---------- dom : OPA_C_Grid instance domain - ssh : numpy.array - sea surface height + ssh : numpy.array + sea surface height rho : numpy.array, optional surface in situ density surface pressure @@ -948,10 +950,11 @@ def surface(dom,ssh,rho=rau0): """ ps = rho * grav * ssh - ps = dom.set_mask(ps,dom.tmask[0,:]) + ps = dom.set_mask(ps, dom.tmask[0, :]) return ps -def pressure(dom,T=None,S=None,ssh=None,rho=None): + +def pressure(dom, T=None, S=None, ssh=None, rho=None): """Pressure. Returns the surface + hydrostatic pressure @@ -972,49 +975,52 @@ def pressure(dom,T=None,S=None,ssh=None,rho=None): """ if ssh is None: - ssh=0.*T - rho_s = rau0 + ssh = 0.0 * T + rho_s = rau0 else: - rho_s = insitu(T[0],S[0],0.) + rho_s = insitu(T[0], S[0], 0.0) if rho is not None: - p = hydrostatic(dom,rho=rho) + p = hydrostatic(dom, rho=rho) else: - p = hydrostatic(dom,T,S) - p+= surface(dom,ssh,rho=rho_s) - p = dom.set_mask(p,dom.tmask) + p = hydrostatic(dom, T, S) + p += surface(dom, ssh, rho=rho_s) + p = dom.set_mask(p, dom.tmask) return p -def chi(dom,T,S): - """Return chi = g/rho0 \int (z * rho) dz - """ + +def chi(dom, T, S): + """Return chi = g/rho0 \int (z * rho) dz""" z3d = dom.depthT_3D - rho = insitu(T,S,z3d) - integral = dom.integrate_dz(rho * z3d,dom.tmask) + rho = insitu(T, S, z3d) + integral = dom.integrate_dz(rho * z3d, dom.tmask) return integral * grav / rau0 -def jebar_old(dom,T,S): + +def jebar_old(dom, T, S): """Return the JEBAR term. (weak signal to noise ratio...) see e.g. Mertz and Wright JPO 1992 """ dom.get_bottom_depth() - invH = 1./dom.bottom_depth - mchi = chi(dom,T,S) - return dom.jacobian(mchi,invH) + invH = 1.0 / dom.bottom_depth + mchi = chi(dom, T, S) + return dom.jacobian(mchi, invH) + -def jebar(dom,T,S): +def jebar(dom, T, S): """Return the JEBAR term. (not checked yet...) see e.g. Mertz and Wright JPO 1992 """ dom.get_bottom_depth() z3d = dom.depthT_3D - rho = insitu(T,S,z3d) + rho = insitu(T, S, z3d) h3d = dom.stretch(dom.bottom_depth) - locjac = dom.jacobian(rho,h3d) - mymask = npy.abs(locjac)< 1. # not very satisfactory but well... - integral = dom.integrate_dz(locjac * z3d,where=mymask) - return (integral * grav / rau0 ) / (-dom.bottom_depth**2) + locjac = dom.jacobian(rho, h3d) + mymask = npy.abs(locjac) < 1.0 # not very satisfactory but well... + integral = dom.integrate_dz(locjac * z3d, where=mymask) + return (integral * grav / rau0) / (-(dom.bottom_depth**2)) -def geopotential_height_anomaly(dom,T,S,z,zref=0.): + +def geopotential_height_anomaly(dom, T, S, z, zref=0.0): """Geopotential heigh anomaly. Return geopotential heigh anomaly at pressure z (in dbar) with respect @@ -1031,7 +1037,7 @@ def geopotential_height_anomaly(dom,T,S,z,zref=0.): z : float zref : float - Notes + Notes ----- see e.g. Watt et al. (2001) [1]_ @@ -1040,17 +1046,18 @@ def geopotential_height_anomaly(dom,T,S,z,zref=0.): .. [1] Watt et al. JPO 2001. """ - delt = delta(T,S,dom.depthT_3D) + delt = delta(T, S, dom.depthT_3D) dep = dom.depthT_3D - if z>zref: - intdom = (dep>zref) * (dep zref: + intdom = (dep > zref) * (dep < z) + int = -dom.integrate_dz(delt, intdom) # not sure about the sign here... else: - intdom = (depz) - int = dom.integrate_dz(delt,intdom) - return int * dbar2pascal/grav # to get dynamic meters... + intdom = (dep < zref) * (dep > z) + int = dom.integrate_dz(delt, intdom) + return int * dbar2pascal / grav # to get dynamic meters... + -def potential_energy_anomaly(dom,T,S,z=0,zref=2500.): +def potential_energy_anomaly(dom, T, S, z=0, zref=2500.0): """Potential energy anomaly (PEA). Return PEA integrated between pressure zref (in dbar) and pressure zref (in dbar). @@ -1075,20 +1082,19 @@ def potential_energy_anomaly(dom,T,S,z=0,zref=2500.): .. [1] Rintoul et al. JGR 2002. """ - delt = delta(T,S,dom.depthT_3D) + delt = delta(T, S, dom.depthT_3D) pdelt = dom.depthT_3D * delt dep = dom.depthT_3D - if z>zref: - intdom = (dep>zref) * (dep zref: + intdom = (dep > zref) * (dep < z) + int = -dom.integrate_dz(pdelt, intdom) else: - intdom = (depz) - int = dom.integrate_dz(pdelt,intdom) - return int * dbar2pascal/grav + intdom = (dep < zref) * (dep > z) + int = dom.integrate_dz(pdelt, intdom) + return int * dbar2pascal / grav - -def geopotential_height_anomaly3D(dom,T,S): +def geopotential_height_anomaly3D(dom, T, S): """Geopotential heigh anomaly. Return geopotential heigh anomaly at pressure z (in dbar) with respect @@ -1115,9 +1121,10 @@ def geopotential_height_anomaly3D(dom,T,S): """ name = miscutils.whoami() # print name + ' is not implemented yet...' - return + return + -def montgomery(dom,t,s,ssh=None,href=0.): +def montgomery(dom, t, s, ssh=None, href=0.0): """Montgomery potential. Parameters @@ -1139,11 +1146,12 @@ def montgomery(dom,t,s,ssh=None,href=0.): """ - b = pressure(dom,t,s,ssh=ssh) / rau0 - b+= grav * (href - dom.depthT_3D)# should be ok now... - return dom.set_mask(b,dom.tmask) + b = pressure(dom, t, s, ssh=ssh) / rau0 + b += grav * (href - dom.depthT_3D) # should be ok now... + return dom.set_mask(b, dom.tmask) -def bernoulli(dom,t,s,uv,ssh=None,href=0.,method='PM07'): + +def bernoulli(dom, t, s, uv, ssh=None, href=0.0, method="PM07"): """Bernoulli potential. Parameters @@ -1165,13 +1173,14 @@ def bernoulli(dom,t,s,uv,ssh=None,href=0.,method='PM07'): Notes ----- Different methods are available. Note that they do not - provide the same results. + provide the same results. """ - exec('_bernoulli = _bernoulli_' + method) - return _bernoulli(dom,t,s,uv,ssh=ssh,href=href) + exec("_bernoulli = _bernoulli_" + method) + return _bernoulli(dom, t, s, uv, ssh=ssh, href=href) + -def _bernoulli_PM07(dom,t,s,uv,ssh=None,href=0.): +def _bernoulli_PM07(dom, t, s, uv, ssh=None, href=0.0): """Bernoulli potential. Parameters @@ -1188,8 +1197,8 @@ def _bernoulli_PM07(dom,t,s,uv,ssh=None,href=0.): sea surface height href : float, optional reference depth - - Notes + + Notes ----- following Polton and Marshall (2007) [1]_ @@ -1199,13 +1208,14 @@ def _bernoulli_PM07(dom,t,s,uv,ssh=None,href=0.): """ - uvw = (uv[0],uv[1],0.*uv[0]) - b = pressure(dom,t,s,ssh=ssh) / rau0 - b+= dom.dot(uvw,uvw) / 2. - b+= grav * (href - dom.depthT_3D) - return dom.set_mask(b,dom.tmask) + uvw = (uv[0], uv[1], 0.0 * uv[0]) + b = pressure(dom, t, s, ssh=ssh) / rau0 + b += dom.dot(uvw, uvw) / 2.0 + b += grav * (href - dom.depthT_3D) + return dom.set_mask(b, dom.tmask) + -def _bernoulli_MJN01(dom,t,s,uv,ssh=None,href=0.): +def _bernoulli_MJN01(dom, t, s, uv, ssh=None, href=0.0): """Bernoulli potential. Parameters @@ -1232,23 +1242,23 @@ def _bernoulli_MJN01(dom,t,s,uv,ssh=None,href=0.): .. [1] Marshall Jamous and Niilson, J. of Phys. Ocean. 2001 """ - uvw = (uv[0],uv[1],0.*uv[0]) - rho = insitu(t,s,dom.depthT_3D) - b = pressure(dom,T=t,S=s,rho=rho,ssh=ssh) / rau0 - b+= grav * (href - dom.depthT_3D) * rho /rau0 - return dom.set_mask(b,dom.tmask) - -def _bernoulli_test(dom,t,s,uv,ssh=None,href=0.): - """You should not use this function. - """ - uvw = (uv[0],uv[1],0.*uv[0]) - rho = insitu(t,s,dom.depthT_3D) - b = pressure(dom,rho=rho,ssh=ssh) / rho - b+= grav * (href - dom.depthT_3D) - return dom.set_mask(b,dom.tmask) + uvw = (uv[0], uv[1], 0.0 * uv[0]) + rho = insitu(t, s, dom.depthT_3D) + b = pressure(dom, T=t, S=s, rho=rho, ssh=ssh) / rau0 + b += grav * (href - dom.depthT_3D) * rho / rau0 + return dom.set_mask(b, dom.tmask) + +def _bernoulli_test(dom, t, s, uv, ssh=None, href=0.0): + """You should not use this function.""" + uvw = (uv[0], uv[1], 0.0 * uv[0]) + rho = insitu(t, s, dom.depthT_3D) + b = pressure(dom, rho=rho, ssh=ssh) / rho + b += grav * (href - dom.depthT_3D) + return dom.set_mask(b, dom.tmask) -def helicity(dom,T,S): + +def helicity(dom, T, S): """Neutral helicity. Parameters @@ -1271,27 +1281,28 @@ def helicity(dom,T,S): gS = grad(S) gT = grad(T) # get A - alpha = alpha(T,S,dom.depthT_3D) - beta = beta(T,S,dom.depthT_3D) - ra = dom.lamV(alpha,gT) - rb = dom.lamV(beta,gS) - A = (rb[0]-ra[0],rb[1]-ra[1],rb[2]-ra[2]) + alpha = alpha(T, S, dom.depthT_3D) + beta = beta(T, S, dom.depthT_3D) + ra = dom.lamV(alpha, gT) + rb = dom.lamV(beta, gS) + A = (rb[0] - ra[0], rb[1] - ra[1], rb[2] - ra[2]) # get curl A - alpha_p= alpha_p(T,S,dom.depthT_3D) - beta_p= beta_p(T,S,dom.depthT_3D) - P = pressure(dom,T,S) - gP = grad(P/dbar2pascal) - gPxgT = dom.cross(gP,gT,True) - gPxgS = dom.cross(gP,gS,True) - ta=dom.lamV(alpha_p,gPxgT,True) - tb=dom.lamV(beta_p,gPxgS,True) - cA=(tb[0]-ta[0],tb[1]-ta[1],tb[2]-ta[2]) + alpha_p = alpha_p(T, S, dom.depthT_3D) + beta_p = beta_p(T, S, dom.depthT_3D) + P = pressure(dom, T, S) + gP = grad(P / dbar2pascal) + gPxgT = dom.cross(gP, gT, True) + gPxgS = dom.cross(gP, gS, True) + ta = dom.lamV(alpha_p, gPxgT, True) + tb = dom.lamV(beta_p, gPxgS, True) + cA = (tb[0] - ta[0], tb[1] - ta[1], tb[2] - ta[2]) # get H - H = dom.dot(cA,A,stag_grd=True) - mH = N.core.ma.masked_where((H==0.)+(H>1.)+(H<-1.),H) # happy hard-coding... + H = dom.dot(cA, A, stag_grd=True) + mH = N.core.ma.masked_where( + (H == 0.0) + (H > 1.0) + (H < -1.0), H + ) # happy hard-coding... # return mH # ===== end file ===== - diff --git a/lib/forecast.py b/lib/forecast.py index 2e30de8..4c0fa10 100644 --- a/lib/forecast.py +++ b/lib/forecast.py @@ -11,18 +11,25 @@ from joblib import Parallel, delayed, parallel_backend from sklearn.preprocessing import StandardScaler from sklearn.gaussian_process import GaussianProcessRegressor -from sklearn.gaussian_process.kernels import RBF, ExpSineSquared, RationalQuadratic, WhiteKernel, DotProduct#, Matérn +from sklearn.gaussian_process.kernels import ( + RBF, + ExpSineSquared, + RationalQuadratic, + WhiteKernel, + DotProduct, +) # , Matérn import pickle import warnings + warnings.filterwarnings("ignore") -#file #Select the file where the prepared simu was saved -#var #Select the var you want to forecast -def load_ts(file,var): +# file #Select the file where the prepared simu was saved +# var #Select the var you want to forecast +def load_ts(file, var): """ Load time series data from the file where are saved the prepared simulations. - This function is used the get the prepared data info in order to instanciate a prediction class + This function is used the get the prepared data info in order to instantiate a prediction class Parameters: file (str): The path to the file containing the time series data. @@ -33,12 +40,15 @@ def load_ts(file,var): - df (DataFrame): DataFrame containing the time series data. - dico (dict): A dictionary containing all informations on the simu (pca, mean, std, time_dim)... """ - dico = np.load(file+f"/{var}.npz",allow_pickle=True) + dico = np.load(file + f"/{var}.npz", allow_pickle=True) dico = {key: dico[key] for key in dico.keys()} - df = pd.DataFrame(dico["ts"],columns=[f"{var}-{i+1}" for i in range(np.shape(dico["ts"])[1])]) - with open(file+f"/pca_{var}", 'rb') as file: + df = pd.DataFrame( + dico["ts"], columns=[f"{var}-{i+1}" for i in range(np.shape(dico["ts"])[1])] + ) + with open(file + f"/pca_{var}", "rb") as file: dico["pca"] = pickle.load(file) - return df,dico + return df, dico + ################################## ## ## @@ -46,10 +56,10 @@ def load_ts(file,var): ## ## ################################## -class Simulation: +class Simulation: """!!!Modified version where we apply a script to get yearly average for the simu before!!!""" - + """ A class for loading and preparing simulation data. @@ -70,8 +80,10 @@ class Simulation: shape (tuple) : The shape of the simulation data. simulation (xarray.DataArray) : The loaded simulation data """ - - def __init__(self,path,term,start=0,end=None,comp=0.9,ye=True,ssca=False): #choose jobs 3 if 2D else 1 + + def __init__( + self, path, term, start=0, end=None, comp=0.9, ye=True, ssca=False + ): # choose jobs 3 if 2D else 1 """ Initialize Simulation with specified parameters. @@ -82,23 +94,23 @@ def __init__(self,path,term,start=0,end=None,comp=0.9,ye=True,ssca=False): #choo end (int, optional) : The end index for data slicing. Defaults to None. comp (float, optional) : The comp value for the simulation. Defaults to 0.9. ye (bool, optional) : Flag indicating whether to use ye or not. Defaults to True. - ssca (bool, optional) : Flag indicating whether ssca is used. Defaults to False. #Not used in this class + ssca (bool, optional) : Flag indicating whether ssca is used. Defaults to False. #Not used in this class """ - self.path = path - self.term = term - self.files = Simulation.getData(path,term) + self.path = path + self.term = term + self.files = Simulation.getData(path, term) self.start = start - self.end = end - self.ye = ye - self.comp = comp - self.len = 0 - self.desc = {} - self.getAttributes() #self time_dim, y_size, x_size, - self.getSimu() #self simu , desc {"mean","std","min","max"} + self.end = end + self.ye = ye + self.comp = comp + self.len = 0 + self.desc = {} + self.getAttributes() # self time_dim, y_size, x_size, + self.getSimu() # self simu , desc {"mean","std","min","max"} #### Load files and dimensions info ### - - def getData(path,term): + + def getData(path, term): """ Get the files related to the simulation in the right directory @@ -114,43 +126,50 @@ def getData(path,term): """ grid = [] for file in sorted(os.listdir(path)): - if term+"." in file: #add param!="" - grid.append(path+"/"+file) + if term + "." in file: # add param!="" + grid.append(path + "/" + file) return grid - + def getAttributes(self): """ Get attributes of the simulation data. """ - array = xr.open_dataset(self.files[-1], decode_times=False,chunks={"time": 200, "x":120}) - self.time_dim = list(array.dims)[0] - self.y_size = array.sizes['y'] - self.x_size = array.sizes['x'] + array = xr.open_dataset( + self.files[-1], decode_times=False, chunks={"time": 200, "x": 120} + ) + self.time_dim = list(array.dims)[0] + self.y_size = array.sizes["y"] + self.x_size = array.sizes["x"] if "deptht" in array[self.term].dims: - self.z_size = array.sizes['deptht'] - self.shape = (self.z_size,self.y_size,self.x_size) + self.z_size = array.sizes["deptht"] + self.shape = (self.z_size, self.y_size, self.x_size) elif "olevel" in array[self.term].dims: - self.z_size = array.sizes['olevel'] - self.shape = (self.z_size,self.y_size,self.x_size) + self.z_size = array.sizes["olevel"] + self.shape = (self.z_size, self.y_size, self.x_size) else: self.z_size = None - self.shape = (self.y_size,self.x_size) - #self.getSSCA(array) - + self.shape = (self.y_size, self.x_size) + # self.getSSCA(array) + #### Load simulation ### - + def getSimu(self): """ Load simulation data. """ - #array = list(Parallel(jobs)(delayed(self.loadFile)(file) for file in self.files)) - array = [self.loadFile(file) for file in self.files if self.len self.end: + # if self.len + array.sizes[self.time_dim] > self.end: # array = array[0:self.end-self.len] # self.len = self.len + array.sizes[self.time_dim] - #else: + # else: # self.len = self.len + array.sizes[self.time_dim] return array.load() - ######################### # prepare simulation # ######################### - - def prepare(self,stand=True): + + def prepare(self, stand=True): """ Prepare the simulation data selecting indices from start to end, updating length and obtaining statistics, standardizing if specified. @@ -188,69 +208,85 @@ def prepare(self,stand=True): stand (bool, optional): Flag indicating whether to standardize the simulation data. Defaults to True. """ if self.end is not None: - self.simulation = self.simulation[self.start:self.end] + self.simulation = self.simulation[self.start : self.end] else: - self.simulation = self.simulation[self.start:] - self.len = np.shape(self.simulation)[0] - #self.removeClosedSeas() - self.desc.update({"mean":np.nanmean(self.simulation),"std":np.nanstd(self.simulation), - "min":np.nanmin(self.simulation),"max":np.nanmax(self.simulation)}) + self.simulation = self.simulation[self.start :] + self.len = np.shape(self.simulation)[0] + # self.removeClosedSeas() + self.desc.update( + { + "mean": np.nanmean(self.simulation), + "std": np.nanstd(self.simulation), + "min": np.nanmin(self.simulation), + "max": np.nanmax(self.simulation), + } + ) if stand: - self.standardize() + self.standardize() self.simulation = self.simulation.values - def getSSCA(self,array): + def getSSCA(self, array): """ Extract the seasonality data from the simulation. Not used : we import yearly data Parameters: - array (xarray.Dataset): The last dataset containing simulation data in the simulation file. + array (xarray.Dataset): The last dataset containing simulation data in the simulation file. """ array = array[self.term].values - n = np.shape(array)[0]//12 *12 + n = np.shape(array)[0] // 12 * 12 array = array[-n:] - ssca = np.array(array).reshape((n//12, 12)+ self.shape) #np.array(array[self.term]) - ssca = np.mean(ssca, axis=0) - ssca_extended = np.tile(ssca, (n//12, 1, 1)) + ssca = np.array(array).reshape( + (n // 12, 12) + self.shape + ) # np.array(array[self.term]) + ssca = np.mean(ssca, axis=0) + ssca_extended = np.tile(ssca, (n // 12, 1, 1)) self.desc["ssca"] = sscad - if self.ye==False: + if self.ye == False: self.simulation = array - ssca_extended - - + def removeClosedSeas(self): """ - Remove closed seas from the simulation data. Not used : we don't have the specific mask to fill with predictions - """ - array = self.simulation - y_range = [slice(240, 266),slice(235, 276),slice(160, 201)] #mer noir, grands lacs, lac victoria - x_range = [slice(195, 213),slice(330, 351),slice(310, 325)] - for y,x in zip(y_range,x_range): - array = array.where((array['x'] < x.start) | (array['x'] >= x.stop) | - (array['y'] < y.start) | (array['y'] >= y.stop),drop=True) + Remove closed seas from the simulation data. Not used : we don't have the specific mask to fill with predictions + """ + array = self.simulation + y_range = [ + slice(240, 266), + slice(235, 276), + slice(160, 201), + ] # mer noir, grands lacs, lac victoria + x_range = [slice(195, 213), slice(330, 351), slice(310, 325)] + for y, x in zip(y_range, x_range): + array = array.where( + (array["x"] < x.start) + | (array["x"] >= x.stop) + | (array["y"] < y.start) + | (array["y"] >= y.stop), + drop=True, + ) self.simulation = array - + def standardize(self): """ Standardize the simulation data. """ - self.simulation = (self.simulation - self.desc["mean"]) / (2*self.desc["std"]) - + self.simulation = (self.simulation - self.desc["mean"]) / (2 * self.desc["std"]) + ################## # Compute PCA # ################## - + def applyPCA(self): """ Apply Principal Component Analysis (PCA) to the simulation data. """ - array = self.simulation.reshape(self.len,-1) - self.bool_mask = np.asarray(np.isfinite(array[0,:]), dtype=bool) - array_masked = array[:,self.bool_mask] + array = self.simulation.reshape(self.len, -1) + self.bool_mask = np.asarray(np.isfinite(array[0, :]), dtype=bool) + array_masked = array[:, self.bool_mask] pca = PCA(self.comp, whiten=False) self.components = pca.fit_transform(array_masked) - self.pca = pca - - def getPC(self,n): + self.pca = pca + + def getPC(self, n): """ Get principal component map for the specified component. @@ -262,39 +298,38 @@ def getPC(self,n): """ map_ = np.zeros((np.product(self.shape)), dtype=float) map_[~self.bool_mask] = np.nan - map_[self.bool_mask] = self.pca.components_[n] + map_[self.bool_mask] = self.pca.components_[n] map_ = map_.reshape(self.shape) - map_ = 2 * map_ * self.desc["std"] + self.desc["mean"] + map_ = 2 * map_ * self.desc["std"] + self.desc["mean"] return map_ - - ############################### NOT USED IN THE MAIN.PY ############################### - def rmseOfPCA(self,n): + ############################### NOT USED IN THE MAIN.PY ############################### + def rmseOfPCA(self, n): reconstruction = self.reconstruct(n) - rmse_values = self.rmseValues(reconstruction) * 2 * self.desc["std"] - rmse_map = self.rmseMap(reconstruction) * 2 * self.desc["std"] + rmse_values = self.rmseValues(reconstruction) * 2 * self.desc["std"] + rmse_map = self.rmseMap(reconstruction) * 2 * self.desc["std"] return reconstruction, rmse_values, rmse_map - - def rmseValues(self,reconstruction): - truth = self.simulation# * 2 * self.desc["std"] + self.desc["mean"] - rec = reconstruction # * 2 * self.desc["std"] + self.desc["mean"] - if len(np.shape(truth))==3: + + def rmseValues(self, reconstruction): + truth = self.simulation # * 2 * self.desc["std"] + self.desc["mean"] + rec = reconstruction # * 2 * self.desc["std"] + self.desc["mean"] + if len(np.shape(truth)) == 3: n = np.count_nonzero(~np.isnan(truth[0])) - rmse_values = np.sqrt(np.nansum((truth-rec)**2,axis=(1,2))/n) + rmse_values = np.sqrt(np.nansum((truth - rec) ** 2, axis=(1, 2)) / n) else: - n = np.count_nonzero(~np.isnan(self.simulation[0]),axis=(1,2)) - rmse_values = np.nansum((truth-rec)**2,axis=(2,3)) + n = np.count_nonzero(~np.isnan(self.simulation[0]), axis=(1, 2)) + rmse_values = np.nansum((truth - rec) ** 2, axis=(2, 3)) for i in range(len(n)): - rmse_values[:,i] = rmse_values[:,i]/n[i] + rmse_values[:, i] = rmse_values[:, i] / n[i] rmse_values = np.sqrt(rmse_values) - return rmse_values - - def rmseMap(self,reconstruction): + return rmse_values + + def rmseMap(self, reconstruction): t = self.len truth = self.simulation - reconstruction = reconstruction - return np.sqrt(np.sum((self.simulation[:]-reconstruction)**2,axis=0)/t) - + reconstruction = reconstruction + return np.sqrt(np.sum((self.simulation[:] - reconstruction) ** 2, axis=0) / t) + def reconstruct(self, n): """ Reconstruct data using a specified number of principal components. @@ -306,13 +341,17 @@ def reconstruct(self, n): (numpy.array) : The reconstructed data. """ rec = [] - #int_mask = # Convert the boolean mask to int mask once - self.int_mask = self.bool_mask.astype(np.int32).reshape(self.shape) # Reshape to match the shape of map_ + # int_mask = # Convert the boolean mask to int mask once + self.int_mask = self.bool_mask.astype(np.int32).reshape( + self.shape + ) # Reshape to match the shape of map_ for t in range(len(self.components)): map_ = np.zeros(self.shape, dtype=np.float32) - arr = np.array(list(self.components[t, :n]) + [0] * (len(self.pca.components_) - n)) - map_[self.int_mask==1] = self.pca.inverse_transform(arr) - map_[self.int_mask==0] = np.nan + arr = np.array( + list(self.components[t, :n]) + [0] * (len(self.pca.components_) - n) + ) + map_[self.int_mask == 1] = self.pca.inverse_transform(arr) + map_[self.int_mask == 0] = np.nan rec.append(map_) return np.array(rec) @@ -321,7 +360,7 @@ def reconstruct(self, n): ################## # Save in db # ################## - + def makeDico(self): """ Create a dictionary containing simulation data, descriptive statistics, and other relevant information. @@ -330,18 +369,18 @@ def makeDico(self): (dict) : A dictionary containing simulation data and information. """ dico = dict() - dico["ts"] = self.components.tolist() - dico["mask"] = self.bool_mask - dico["desc"] = self.desc - dico["cut"] = self.start - dico["x_size"]= self.x_size - dico["y_size"]= self.y_size + dico["ts"] = self.components.tolist() + dico["mask"] = self.bool_mask + dico["desc"] = self.desc + dico["cut"] = self.start + dico["x_size"] = self.x_size + dico["y_size"] = self.y_size if self.z_size is not None: - dico["z_size"]= self.z_size - dico["shape"]= self.shape + dico["z_size"] = self.z_size + dico["shape"] = self.shape return dico - - def save(self,file,term): + + def save(self, file, term): """ Save the simulation data and information to files. @@ -350,9 +389,9 @@ def save(self,file,term): term (str): The term used in the filenames. """ simu_dico = self.makeDico() - if not os.path.exists(file): #save infos + if not os.path.exists(file): # save infos os.makedirs(file) - with open(f"{file}/{term}/pca_{term}", 'wb') as f: + with open(f"{file}/{term}/pca_{term}", "wb") as f: pickle.dump(self.pca, f) np.savez(f"{file}/{term}/{term}", **simu_dico) @@ -362,10 +401,9 @@ def save(self,file,term): ## Forecast & reconstruct ## ## ## ################################# - -class Predictions: +class Predictions: """ Class for forecasting and reconstructing time series data using Gaussian Processes. @@ -376,8 +414,8 @@ class Predictions: gp (GaussianProcessRegressor) : The Gaussian Process regressor. w (int) : Width for moving average and metrics calculation. """ - - def __init__(self,var,data=None,info=None,gp=None,w=12): + + def __init__(self, var, data=None, info=None, gp=None, w=12): """ Initialize the Predictions object. @@ -388,21 +426,21 @@ def __init__(self,var,data=None,info=None,gp=None,w=12): gp (GaussianProcessRegressor) : The Gaussian Process regressor. w (int) : Width for moving average and metrics calculation. """ - self.var = var - self.gp = Predictions.defineGP() if gp is None else gp - self.w = w + self.var = var + self.gp = Predictions.defineGP() if gp is None else gp + self.w = w self.data = data - self.info =info + self.info = info self.info["desc"] = self.info["desc"].item() self.len_ = len(self.data) - + def __len__(self): return len(self.data) - + ################## # Forecast # ################## - + @staticmethod def defineGP(): """ @@ -411,18 +449,25 @@ def defineGP(): - an irregularities_kernel for periodic patterns CHANGER 5/45 1/len(data)? - a noise_kernel We also set a n_restarts_optimizer to optimize hyperparameters - + Returns: GaussianProcessRegressor: The Gaussian Process regressor. """ - long_term_trend_kernel = 0.1*DotProduct(sigma_0=0.0) #+ 0.5*RBF(length_scale=1/2)# + - irregularities_kernel = 10 * ExpSineSquared(length_scale=5/45, periodicity=5/45)#0.5**2*RationalQuadratic(length_scale=5.0, alpha=1.0) + 10 * ExpSineSquared(length_scale=5.0) - noise_kernel = 2*WhiteKernel(noise_level=1)#0.1**2*RBF(length_scale=0.01) + 2*WhiteKernel(noise_level=1) - kernel = irregularities_kernel + noise_kernel +long_term_trend_kernel - return GaussianProcessRegressor(kernel=kernel, normalize_y=False,n_restarts_optimizer=8) - - - def Forecast(self,train_len,steps,jobs=1): + long_term_trend_kernel = 0.1 * DotProduct( + sigma_0=0.0 + ) # + 0.5*RBF(length_scale=1/2)# + + irregularities_kernel = ( + 10 * ExpSineSquared(length_scale=5 / 45, periodicity=5 / 45) + ) # 0.5**2*RationalQuadratic(length_scale=5.0, alpha=1.0) + 10 * ExpSineSquared(length_scale=5.0) + noise_kernel = 2 * WhiteKernel( + noise_level=1 + ) # 0.1**2*RBF(length_scale=0.01) + 2*WhiteKernel(noise_level=1) + kernel = irregularities_kernel + noise_kernel + long_term_trend_kernel + return GaussianProcessRegressor( + kernel=kernel, normalize_y=False, n_restarts_optimizer=8 + ) + + def Forecast(self, train_len, steps, jobs=1): """ Parallel forecast of time series data/eofs using an independent GP for each time series @@ -437,13 +482,20 @@ def Forecast(self,train_len,steps,jobs=1): - y_stds (DataFrame) : Standard deviations of the forecasts. - metrics (list of dict) : One dict of metrics by forecast """ - r = Parallel(n_jobs=jobs)(delayed(self.forecast_ts)(c,train_len,steps) for c in range(1,self.data.shape[1]+1)) - y_hats = pd.DataFrame(np.array([r[i][0] for i in range(len(r))]).T, columns=self.data.columns) - y_stds = pd.DataFrame(np.array([r[i][1] for i in range(len(r))]).T, columns=self.data.columns) - metrics = [r[i][2] for i in range(len(r))] + r = Parallel(n_jobs=jobs)( + delayed(self.forecast_ts)(c, train_len, steps) + for c in range(1, self.data.shape[1] + 1) + ) + y_hats = pd.DataFrame( + np.array([r[i][0] for i in range(len(r))]).T, columns=self.data.columns + ) + y_stds = pd.DataFrame( + np.array([r[i][1] for i in range(len(r))]).T, columns=self.data.columns + ) + metrics = [r[i][2] for i in range(len(r))] return y_hats, y_stds, metrics - - def forecast_ts(self,n,train_len,steps=0): + + def forecast_ts(self, n, train_len, steps=0): """ Forecast of one time series, function called in parallel in Forecast @@ -459,16 +511,20 @@ def forecast_ts(self,n,train_len,steps=0): metrics (dict) : Dictionary of metrics defined in the corresponding function """ random.seed(20) - mean,std,y_train,y_test,x_train,x_pred = self.prepare(n,train_len,steps) - self.gp.fit(x_train,y_train) - y_hat,y_hat_std = self.gp.predict(x_pred,return_std=True) - y_train,y_hat,y_hat_std = y_train*2*std+mean, y_hat*2*std+mean, y_hat_std*2*std + mean, std, y_train, y_test, x_train, x_pred = self.prepare(n, train_len, steps) + self.gp.fit(x_train, y_train) + y_hat, y_hat_std = self.gp.predict(x_pred, return_std=True) + y_train, y_hat, y_hat_std = ( + y_train * 2 * std + mean, + y_hat * 2 * std + mean, + y_hat_std * 2 * std, + ) metrics = None if y_test is not None: - metrics = Predictions.getMetrics(2,y_hat[train_len:len(self)],y_test) - return y_hat,y_hat_std,metrics + metrics = Predictions.getMetrics(2, y_hat[train_len : len(self)], y_test) + return y_hat, y_hat_std, metrics - def prepare(self,n,train_len,steps): + def prepare(self, n, train_len, steps): """ Prepare data for forecasting. @@ -486,18 +542,22 @@ def prepare(self,n,train_len,steps): x_train (numpy.array): Training features. x_pred (numpy.array): Prediction features. """ - x_train = np.linspace(0,1,train_len).reshape(-1,1) - pas = x_train[1,0]-x_train[0,0] - x_pred = np.arange(0,(len(self)+steps)*pas,pas).reshape(-1,1) - y_train = self.data[self.var+"-"+str(n)].iloc[:train_len].to_numpy() - mean, std = np.nanmean(y_train), np.nanstd(y_train) - y_train = (y_train-mean)/(2.0*std) - y_test = None - if train_len self.current_score_eval] - results=[] + gps_test = [ + process + for process, score in self.scores_eval + if score > self.current_score_eval + ] + results = [] for simu in self.simu_test: - print(f"Processing simulation {simu.id}",end="") - if self.min_train < len(simu)-self.min_test: - train_lens = np.arange(self.min_train,len(simu)-self.min_test,self.steps) - results.append([self.evaluateProcess(simu,train_lens,process) for process in gps_test]) - print("",end="\n") - results = [(process,score) for process,score in zip(gps_test, np.sum(results,axis=0))] + print(f"Processing simulation {simu.id}", end="") + if self.min_train < len(simu) - self.min_test: + train_lens = np.arange( + self.min_train, len(simu) - self.min_test, self.steps + ) + results.append( + [ + self.evaluateProcess(simu, train_lens, process) + for process in gps_test + ] + ) + print("", end="\n") + results = [ + (process, score) + for process, score in zip(gps_test, np.sum(results, axis=0)) + ] self.scores_test = sorted(results, key=lambda item: item[1], reverse=True) - - - - - - diff --git a/lib/restart.py b/lib/restart.py index 2ef9e9b..136eded 100644 --- a/lib/restart.py +++ b/lib/restart.py @@ -1,37 +1,40 @@ import numpy as np import xarray as xr -import densite +import density import matplotlib.pyplot as plt -import copy +import copy import os import glob + # SUPER LONG PEUT ETRE LE FAIR EN BASH OU ERREUR -def getRestartFiles(path,radical,puzzled=False): +def getRestartFiles(path, radical, puzzled=False): """ Get the restart files of the last simulation step Parameters: - path (str): The path to the restarts files - radical (str): Radical of the file name - (e.g. for "OCE_CM65-LR-pi-SpinupRef_19141231_00390.nc", it’s "OCE_CM65-LR-pi-SpinupRef_19141231") + path (str): The path to the restarts files + radical (str): Radical of the file name + (e.g. for "OCE_CM65-LR-pi-SpinupRef_19141231_00390.nc", it's "OCE_CM65-LR-pi-SpinupRef_19141231") puzzled (bool): Return Complete Restart File (False) or List of windowed files (True) Returns: list (of str) or str : List of restart puzzled files paths, or unique restart file path """ print("Retrieving Restart File(s)") - if puzzled==True: - return glob.glob(path+radical+"_*.nc").sorted() + if puzzled == True: + return glob.glob(path + radical + "_*.nc").sorted() else: try: - return glob.glob(path+radical+".nc")[0] + return glob.glob(path + radical + ".nc")[0] except IndexError: - print("No Full Restart Found : Use NEMO_REBUILD from NEMO tools if you didn’t do it yet.") + print( + "No Full Restart Found : Use NEMO_REBUILD from NEMO tools if you didn't do it yet." + ) raise -def getMaskFile(maskpath,restart): +def getMaskFile(maskpath, restart): """ Get the mask file and adapt it to fit the restart file coordinate system. @@ -42,78 +45,83 @@ def getMaskFile(maskpath,restart): Returns: mask (xarray.Dataset) : The mask dataset adapted to the restart file. """ - mask = xr.open_dataset(maskpath,decode_times=False) + mask = xr.open_dataset(maskpath, decode_times=False) # Harmonizing the structure of mask with that of restart - mask = mask.swap_dims(dims_dict={"z": "nav_lev","t":"time_counter"}) - mask["time_counter"]=restart["time_counter"] + mask = mask.swap_dims(dims_dict={"z": "nav_lev", "t": "time_counter"}) + mask["time_counter"] = restart["time_counter"] return mask -def recordFullRestart(path,radical,restart): + +def recordFullRestart(path, radical, restart): """ Record the Modified Full Restart Dataset to a file in the input directory for analysis. Parameters: - path (str): The path to the restart file directory - radical (str): Radical of the original restart file name + path (str): The path to the restart file directory + radical (str): Radical of the original restart file name (e.g. for "OCE_CM65-LR-pi-SpinupRef_19141231_restart_00390.nc", it’s "OCE_CM65-LR-pi-SpinupRef_19141231_restart") restart (xarray.Dataset): The full restart file we are modifying. Returns: str : Recording Completion Message """ - restart.to_netcdf(path+"NEW_"+radical+".nc") - print("Restart saved as : "+ path+"NEW_"+radical+".nc") + restart.to_netcdf(path + "NEW_" + radical + ".nc") + print("Restart saved as : " + path + "NEW_" + radical + ".nc") return "Recording Complete" -def recordPiecedRestart(path,radical,restart): + +def recordPiecedRestart(path, radical, restart): """ Record the Modified Puzzled Restart Datasets to files in the input directory for analysis. It is done by iterating on the existing puzzled dataset files, and creating new ones by appending "NEW_" in front of the filename. If the user want to overwrite the old files, they will need to do it manually (a 4 line bash script is available). Parameters: - path (str): The path to the restart file directory - radical (str): Radical of the original restart file name + path (str): The path to the restart file directory + radical (str): Radical of the original restart file name (e.g. for "OCE_CM65-LR-pi-SpinupRef_19141231_restart_00390.nc", it’s "OCE_CM65-LR-pi-SpinupRef_19141231_restart") restart (xarray.Dataset): The full restart file we are modifying. Returns: str : Recording Completion Message """ - size=len(glob.glob(path+radical+"_*.nc")) + size = len(glob.glob(path + radical + "_*.nc")) for index in range(size): - Restart_NEW=xr.open_dataset(path+radical+"_%04d.nc"%(index)) - x_slice,y_slice = getXYslice(Restart_NEW) - Restart_NEW["un"]=restart["un"][:,:,y_slice,x_slice] - Restart_NEW["vn"]=restart["vn"][:,:,y_slice,x_slice] - Restart_NEW["ub"]=restart["ub"][:,:,y_slice,x_slice] - Restart_NEW["vb"]=restart["vb"][:,:,y_slice,x_slice] - Restart_NEW["sn"]=restart["sn"][:,:,y_slice,x_slice] - Restart_NEW["tn"]=restart["tn"][:,:,y_slice,x_slice] - Restart_NEW["sb"]=restart["sb"][:,:,y_slice,x_slice] - Restart_NEW["tb"]=restart["tb"][:,:,y_slice,x_slice] - - Restart_NEW["rhop"]=restart["rhop"][:,:,y_slice,x_slice] - - Restart_NEW["sshn"]=restart["sshn"][:,y_slice,x_slice] - Restart_NEW["sshb"]=restart["sshb"][:,y_slice,x_slice] - - Restart_NEW["ssv_m"]=restart["ssv_m"][:,y_slice,x_slice] - Restart_NEW["ssu_m"]=restart["ssu_m"][:,y_slice,x_slice] - Restart_NEW["sst_m"]=restart["sst_m"][:,y_slice,x_slice] - Restart_NEW["sss_m"]=restart["sss_m"][:,y_slice,x_slice] - Restart_NEW["ssh_m"]=restart["ssh_m"][:,y_slice,x_slice] - Restart_NEW["e3t_m"]=restart["e3t_m"][:,y_slice,x_slice] - - Restart_NEW.to_netcdf(path+"NEW_"+radical+"_%04d.nc"%(index)) - print("Restart Piece saved as : "+ path+"NEW_"+radical+"_%04d.nc"%(index)) + Restart_NEW = xr.open_dataset(path + radical + "_%04d.nc" % (index)) + x_slice, y_slice = getXYslice(Restart_NEW) + Restart_NEW["un"] = restart["un"][:, :, y_slice, x_slice] + Restart_NEW["vn"] = restart["vn"][:, :, y_slice, x_slice] + Restart_NEW["ub"] = restart["ub"][:, :, y_slice, x_slice] + Restart_NEW["vb"] = restart["vb"][:, :, y_slice, x_slice] + Restart_NEW["sn"] = restart["sn"][:, :, y_slice, x_slice] + Restart_NEW["tn"] = restart["tn"][:, :, y_slice, x_slice] + Restart_NEW["sb"] = restart["sb"][:, :, y_slice, x_slice] + Restart_NEW["tb"] = restart["tb"][:, :, y_slice, x_slice] + + Restart_NEW["rhop"] = restart["rhop"][:, :, y_slice, x_slice] + + Restart_NEW["sshn"] = restart["sshn"][:, y_slice, x_slice] + Restart_NEW["sshb"] = restart["sshb"][:, y_slice, x_slice] + + Restart_NEW["ssv_m"] = restart["ssv_m"][:, y_slice, x_slice] + Restart_NEW["ssu_m"] = restart["ssu_m"][:, y_slice, x_slice] + Restart_NEW["sst_m"] = restart["sst_m"][:, y_slice, x_slice] + Restart_NEW["sss_m"] = restart["sss_m"][:, y_slice, x_slice] + Restart_NEW["ssh_m"] = restart["ssh_m"][:, y_slice, x_slice] + Restart_NEW["e3t_m"] = restart["e3t_m"][:, y_slice, x_slice] + + Restart_NEW.to_netcdf(path + "NEW_" + radical + "_%04d.nc" % (index)) + print( + "Restart Piece saved as : " + path + "NEW_" + radical + "_%04d.nc" % (index) + ) return "Recording Complete" -def load_predictions(restart,dirpath="/data/mtissot/simus_predicted"): + +def load_predictions(restart, dirpath="/data/mtissot/simus_predicted"): """ Load predicted data from saved NumPy files into the restart array. - We use the same prediction step for now and before steps (e.g sshn/sshb). - We also update the intermediate step surface variables (e.g. sst_m). + We use the same prediction step for now and before steps (e.g sshn/sshb). + We also update the intermediate step surface variables (e.g. sst_m). Returns: restart (xarray.Dataset) with the following primary variables modified : @@ -121,31 +129,37 @@ def load_predictions(restart,dirpath="/data/mtissot/simus_predicted"): so (xarray.DataArray) : salinity predictions - (t,z,y,x) thetao (xarray.DataArray) : temperature predictions - (t,z,y,x) """ - ## Loading new SSH in directly affected variables - ## (loading zos.npy, selecting last snapshot, then converting to fitting xarray.DataArray, and cleaning the nans) + ## Loading new SSH in directly affected variables + ## (loading zos.npy, selecting last snapshot, then converting to fitting xarray.DataArray, and cleaning the nans) try: - zos=np.load(dirpath+"/zos.npy")[-1:] - restart["sshn"] = xr.DataArray(zos, dims=("time_counter", "y", "x"), name="sshn").fillna(0) + zos = np.load(dirpath + "/zos.npy")[-1:] + restart["sshn"] = xr.DataArray( + zos, dims=("time_counter", "y", "x"), name="sshn" + ).fillna(0) restart["sshb"] = restart["sshn"].copy() restart["ssh_m"] = restart["sshn"].copy() except FileNotFoundError: print("Couldn’t find a SSH/ZOS prediction file, keeping the original SSH.") - ## Loading new SO in directly affected variables - ## (loading so.npy, selecting last snapshot, then converting to fitting xarray.DataArray, and cleaning the nans) + ## Loading new SO in directly affected variables + ## (loading so.npy, selecting last snapshot, then converting to fitting xarray.DataArray, and cleaning the nans) try: - so = np.load(dirpath+"/so.npy")[-1:] - restart["sn"] = xr.DataArray(so, dims=("time_counter", "nav_lev","y", "x"), name="sn").fillna(0) + so = np.load(dirpath + "/so.npy")[-1:] + restart["sn"] = xr.DataArray( + so, dims=("time_counter", "nav_lev", "y", "x"), name="sn" + ).fillna(0) restart["sb"] = restart["sn"].copy() restart["sss_m"] = restart["sn"].isel(nav_lev=0).copy() except FileNotFoundError: print("Couldn’t find a SO prediction file, keeping the original SO.") - ## Loading new THETAO in directly affected variables - ## (loading thetao.npy, selecting last snapshot, then converting to fitting xarray.DataArray, and cleaning the nans) + ## Loading new THETAO in directly affected variables + ## (loading thetao.npy, selecting last snapshot, then converting to fitting xarray.DataArray, and cleaning the nans) try: - thetao=np.load(dirpath+"/thetao.npy")[-1:] - restart["tn"] = xr.DataArray(thetao, dims=("time_counter", "nav_lev","y", "x"), name="tn").fillna(0) + thetao = np.load(dirpath + "/thetao.npy")[-1:] + restart["tn"] = xr.DataArray( + thetao, dims=("time_counter", "nav_lev", "y", "x"), name="tn" + ).fillna(0) restart["tb"] = restart["tn"].copy() restart["sst_m"] = restart["tn"].isel(nav_lev=0).copy() except FileNotFoundError: @@ -161,21 +175,21 @@ def getXYslice(restart): Parameters: restart (xarray.Dataset) : Restart file - + Returns x_slice (slice dtype=float) : range of x positions y_slice (slice dtype=float) : range of y positions """ - First = restart.DOMAIN_position_first - Last = restart.DOMAIN_position_last - x_slice = slice(First[0]-1,Last[0]) - y_slice = slice(First[1]-1,Last[1]) + First = restart.DOMAIN_position_first + Last = restart.DOMAIN_position_last + x_slice = slice(First[0] - 1, Last[0]) + y_slice = slice(First[1] - 1, Last[1]) return x_slice, y_slice -def toXarray(var,name,dep=True,fillna=True): +def toXarray(var, name, dep=True, fillna=True): """ - Converts a numpy array into an xarray DataArray and replace nan values by 0 to obtain the same data format as in restart files. + Converts a numpy array into an xarray DataArray and replace nan values by 0 to obtain the same data format as in restart files. Parameters: var (numpy array) : The array to be converted. @@ -189,60 +203,61 @@ def toXarray(var,name,dep=True,fillna=True): array (xarray.DataArray): An xarray DataArray object representing the input numpy array. """ if dep: - if len(np.shape(var))==4: - array = xr.DataArray(var, dims=("time_counter", "nav_lev", "y", "x"), name=name) - elif len(np.shape(var))==3: + if len(np.shape(var)) == 4: + array = xr.DataArray( + var, dims=("time_counter", "nav_lev", "y", "x"), name=name + ) + elif len(np.shape(var)) == 3: array = xr.DataArray(var, dims=("nav_lev", "y", "x"), name=name) else: - if len(np.shape(var))==3: + if len(np.shape(var)) == 3: array = xr.DataArray(var, dims=("time_counter", "y", "x"), name=name) - elif len(np.shape(var))==2: + elif len(np.shape(var)) == 2: array = xr.DataArray(var, dims=("y", "x"), name=name) return array.fillna(0) -def propagate_pred(restart,mask): + +def propagate_pred(restart, mask): """ - Update the variables indirectly affected by the prediction on primary variables (e.g. geostrophic velocities and density). - + Update the variables indirectly affected by the prediction on primary variables (e.g. geostrophic velocities and density). + Parameters: - restart (xarray.Dataset) : Full Restart file - + restart (xarray.Dataset) : Full Restart file + Returns: restart (xarray.Dataset) : Full Restart file with all variables modified according to the predictions. """ - thetao=restart.tn - so=restart.sn + thetao = restart.tn + so = restart.sn - deptht = get_deptht(restart,mask) - rhop_new,_= get_density(thetao,so,deptht,mask.tmask) + deptht = get_deptht(restart, mask) + rhop_new, _ = get_density(thetao, so, deptht, mask.tmask) - e3t_new = update_e3t(restart,mask) - u_new = update_u_velocity(restart,mask,e3t_new).fillna(0) - v_new = update_v_velocity(restart,mask,e3t_new).fillna(0) + e3t_new = update_e3t(restart, mask) + u_new = update_u_velocity(restart, mask, e3t_new).fillna(0) + v_new = update_v_velocity(restart, mask, e3t_new).fillna(0) - restart["un"]=u_new.copy() - restart["vn"]=v_new.copy() - restart["ub"]=u_new.copy() - restart["vb"]=v_new.copy() - restart["rhop"]=rhop_new.fillna(0) - restart["ssv_m"]=v_new.isel(nav_lev=0) - restart["ssu_m"]=u_new.isel(nav_lev=0) - restart["e3t_m"]=e3t_new.isel(nav_lev=0).fillna(0) + restart["un"] = u_new.copy() + restart["vn"] = v_new.copy() + restart["ub"] = u_new.copy() + restart["vb"] = v_new.copy() + restart["rhop"] = rhop_new.fillna(0) + restart["ssv_m"] = v_new.isel(nav_lev=0) + restart["ssu_m"] = u_new.isel(nav_lev=0) + restart["e3t_m"] = e3t_new.isel(nav_lev=0).fillna(0) return restart - - -def update_e3t(restart,mask): +def update_e3t(restart, mask): """ Update e3t_m : the cell thickness of the top layer. - Get e3t : the cell thickness for all dimensions, we can use e3t to get the new bathymetry and to update u and velocities + Get e3t : the cell thickness for all dimensions, we can use e3t to get the new bathymetry and to update u and velocities e3t = e3t_initital * (1+tmask4D*np.expand_dims(np.tile(ssh*ssmask/(bathy+(1-ssmask)),(75,1,1)),axis=0)) - Get deptht : The depth of each cell on grid. we use it to update the density rhop. - + Get deptht : The depth of each cell on grid. We use it to update the density rhop. + Parameters: mask (xarray.Dataset) : Mask Dataset containing tmask values restart (xarray.Dataset) : Restart file @@ -250,19 +265,20 @@ def update_e3t(restart,mask): Returns: e3t (numpy.ndarray) : Updated array of z-axis cell thicknesses. """ - e3t_ini = restart.e3t_ini # initial z axis cell's thickness on grid T - (t,z,y,x) - ssmask = mask.tmask.max(dim="nav_lev") # continent mask - (t,y,x) - bathy = e3t_ini.sum(dim="nav_lev") # inital Bathymetry - (t,y,x) - ssh = restart.sshn # Sea Surface Height - (t,y,x) - tmask = mask.tmask # bathy mask on grid T - (t,z,y,x) - e3t = e3t_ini*(1+ssh*ssmask/(bathy+1-ssmask)) # - (t,y,x) + e3t_ini = restart.e3t_ini # initial z axis cell's thickness on grid T - (t,z,y,x) + ssmask = mask.tmask.max( + dim="nav_lev" + ) # continent mask - (t,y,x) + bathy = e3t_ini.sum( + dim="nav_lev" + ) # inital Bathymetry - (t,y,x) + ssh = restart.sshn # Sea Surface Height - (t,y,x) + tmask = mask.tmask # bathy mask on grid T - (t,z,y,x) + e3t = e3t_ini * (1 + ssh * ssmask / (bathy + 1 - ssmask)) # - (t,y,x) return e3t - - - -def get_deptht(restart,mask): +def get_deptht(restart, mask): """ Calculate the depth of each vertical level on grid T in the 3D grid. @@ -273,22 +289,22 @@ def get_deptht(restart,mask): Returns: deptht (numpy.array) : The depth of each vertical level. """ - ssh=restart.sshn - e3w_0 = mask.e3w_0 #initial z axis cell's thickness on grid W - (t,z,y,x) - e3t_0 = mask.e3t_0 #initial z axis cell's thickness on grid T - (t,z,y,x) - tmask = mask.tmask #grid T continent mask - (t,z,y,x) - ssmask = tmask[:,0] #bathymetry - (t,y,x) - bathy = e3t_0.sum(dim="nav_lev") #initial condition depth 0 - (t,z,y,x) + ssh = restart.sshn + e3w_0 = mask.e3w_0 # initial z axis cell's thickness on grid W - (t,z,y,x) + e3t_0 = mask.e3t_0 # initial z axis cell's thickness on grid T - (t,z,y,x) + tmask = mask.tmask # grid T continent mask - (t,z,y,x) + ssmask = tmask[:, 0] # bathymetry - (t,y,x) + bathy = e3t_0.sum( + dim="nav_lev" + ) # initial condition depth 0 - (t,z,y,x) depth_0 = e3w_0.copy() - depth_0[:,0] = 0.5 * e3w_0[:,0] - depth_0[:,1:] = depth_0[:,0:1].data + e3w_0[:,1:].cumsum(dim="nav_lev") - deptht = depth_0 * (1+ssh/(bathy + 1 - ssmask )) * tmask + depth_0[:, 0] = 0.5 * e3w_0[:, 0] + depth_0[:, 1:] = depth_0[:, 0:1].data + e3w_0[:, 1:].cumsum(dim="nav_lev") + deptht = depth_0 * (1 + ssh / (bathy + 1 - ssmask)) * tmask return deptht - - -def update_rhop(restart,mask): +def update_rhop(restart, mask): """ Update the rhop variable in the array based on temperature (thetao) and salinity (so). @@ -297,19 +313,19 @@ def update_rhop(restart,mask): mask (xarray.Dataset) : Mask file Returns: - rhop (xarray.DataArray) - """ - x_slice,y_slice = getXYslice(array) - so = restart['sn'] - thetao = restart['tn'] - tmask = mask["tmask"][-1:,:,y_slice,x_slice] - deptht = get_depth(restart,mask) - - rhop, rho_insitu = get_density(thetao,so,deptht,tmask) + rhop (xarray.DataArray) + """ + x_slice, y_slice = getXYslice(array) + so = restart["sn"] + thetao = restart["tn"] + tmask = mask["tmask"][-1:, :, y_slice, x_slice] + deptht = get_depth(restart, mask) + + rhop, rho_insitu = get_density(thetao, so, deptht, tmask) return rhop -def get_density(thetao,so,depth,tmask): +def get_density(thetao, so, depth, tmask): """ Compute potential density referenced at the surface and density anomaly. @@ -325,44 +341,44 @@ def get_density(thetao,so,depth,tmask): array: Density anomaly. """ rdeltaS = 32.0 - r1_S0 = 0.875/35.16504 - r1_T0 = 1./40. - r1_Z0 = 1.e-4 - - EOS000 = 8.0189615746e+02 - EOS100 = 8.6672408165e+02 - EOS200 = -1.7864682637e+03 - EOS300 = 2.0375295546e+03 - EOS400 = -1.2849161071e+03 - EOS500 = 4.3227585684e+02 - EOS600 = -6.0579916612e+01 - EOS010 = 2.6010145068e+01 - EOS110 = -6.5281885265e+01 - EOS210 = 8.1770425108e+01 - EOS310 = -5.6888046321e+01 - EOS410 = 1.7681814114e+01 + r1_S0 = 0.875 / 35.16504 + r1_T0 = 1.0 / 40.0 + r1_Z0 = 1.0e-4 + + EOS000 = 8.0189615746e02 + EOS100 = 8.6672408165e02 + EOS200 = -1.7864682637e03 + EOS300 = 2.0375295546e03 + EOS400 = -1.2849161071e03 + EOS500 = 4.3227585684e02 + EOS600 = -6.0579916612e01 + EOS010 = 2.6010145068e01 + EOS110 = -6.5281885265e01 + EOS210 = 8.1770425108e01 + EOS310 = -5.6888046321e01 + EOS410 = 1.7681814114e01 EOS510 = -1.9193502195 - EOS020 = -3.7074170417e+01 - EOS120 = 6.1548258127e+01 - EOS220 = -6.0362551501e+01 - EOS320 = 2.9130021253e+01 + EOS020 = -3.7074170417e01 + EOS120 = 6.1548258127e01 + EOS220 = -6.0362551501e01 + EOS320 = 2.9130021253e01 EOS420 = -5.4723692739 - EOS030 = 2.1661789529e+01 - EOS130 = -3.3449108469e+01 - EOS230 = 1.9717078466e+01 + EOS030 = 2.1661789529e01 + EOS130 = -3.3449108469e01 + EOS230 = 1.9717078466e01 EOS330 = -3.1742946532 EOS040 = -8.3627885467 - EOS140 = 1.1311538584e+01 + EOS140 = 1.1311538584e01 EOS240 = -5.3563304045 EOS050 = 5.4048723791e-01 EOS150 = 4.8169980163e-01 EOS060 = -1.9083568888e-01 - EOS001 = 1.9681925209e+01 - EOS101 = -4.2549998214e+01 - EOS201 = 5.0774768218e+01 - EOS301 = -3.0938076334e+01 + EOS001 = 1.9681925209e01 + EOS101 = -4.2549998214e01 + EOS201 = 5.0774768218e01 + EOS301 = -3.0938076334e01 EOS401 = 6.6051753097 - EOS011 = -1.3336301113e+01 + EOS011 = -1.3336301113e01 EOS111 = -4.4870114575 EOS211 = 5.0042598061 EOS311 = -6.5399043664e-01 @@ -381,27 +397,72 @@ def get_density(thetao,so,depth,tmask): EOS003 = -2.3342758797e-02 EOS103 = -1.8507636718e-02 EOS013 = 3.7969820455e-01 - - zh = depth * r1_Z0 # depth - zt = thetao * r1_T0 # temperature - zs = np.sqrt(np.abs(so + rdeltaS ) * r1_S0 ) # square root salinity + + zh = depth * r1_Z0 # depth + zt = thetao * r1_T0 # temperature + zs = np.sqrt(np.abs(so + rdeltaS) * r1_S0) # square root salinity ztm = tmask - - zn3 = EOS013*zt + EOS103*zs+EOS003 - zn2 = (EOS022*zt + EOS112*zs+EOS012)*zt + (EOS202*zs+EOS102)*zs+EOS002 - zn1 = (((EOS041*zt + EOS131*zs+EOS031)*zt + (EOS221*zs+EOS121)*zs+EOS021)*zt + ((EOS311*zs+EOS211)*zs+EOS111)*zs+EOS011)*zt + (((EOS401*zs+EOS301)*zs+EOS201)*zs+EOS101)*zs+EOS001 - zn0 = (((((EOS060*zt + EOS150*zs+EOS050)*zt + (EOS240*zs+EOS140)*zs+EOS040)*zt + ((EOS330*zs+EOS230)*zs+EOS130)*zs+EOS030)*zt + (((EOS420*zs+EOS320)*zs+EOS220)*zs+EOS120)*zs+EOS020)*zt + ((((EOS510*zs+EOS410)*zs+EOS310)*zs+EOS210)*zs+EOS110)*zs+EOS010)*zt + (((((EOS600*zs+EOS500)*zs+EOS400)*zs+EOS300)*zs+EOS200)*zs+EOS100)*zs+EOS000 - - zn = ( ( zn3 * zh + zn2 ) * zh + zn1 ) * zh + zn0 - - rhop = zn0 * ztm # potential density referenced at the surface - rho_insitu = zn * ztm # density anomaly (masked) + + zn3 = EOS013 * zt + EOS103 * zs + EOS003 + zn2 = ( + (EOS022 * zt + EOS112 * zs + EOS012) * zt + (EOS202 * zs + EOS102) * zs + EOS002 + ) + zn1 = ( + ( + ( + (EOS041 * zt + EOS131 * zs + EOS031) * zt + + (EOS221 * zs + EOS121) * zs + + EOS021 + ) + * zt + + ((EOS311 * zs + EOS211) * zs + EOS111) * zs + + EOS011 + ) + * zt + + (((EOS401 * zs + EOS301) * zs + EOS201) * zs + EOS101) * zs + + EOS001 + ) + zn0 = ( + ( + ( + ( + ( + (EOS060 * zt + EOS150 * zs + EOS050) * zt + + (EOS240 * zs + EOS140) * zs + + EOS040 + ) + * zt + + ((EOS330 * zs + EOS230) * zs + EOS130) * zs + + EOS030 + ) + * zt + + (((EOS420 * zs + EOS320) * zs + EOS220) * zs + EOS120) * zs + + EOS020 + ) + * zt + + ((((EOS510 * zs + EOS410) * zs + EOS310) * zs + EOS210) * zs + EOS110) + * zs + + EOS010 + ) + * zt + + ( + ((((EOS600 * zs + EOS500) * zs + EOS400) * zs + EOS300) * zs + EOS200) * zs + + EOS100 + ) + * zs + + EOS000 + ) + + zn = ((zn3 * zh + zn2) * zh + zn1) * zh + zn0 + + rhop = zn0 * ztm # potential density referenced at the surface + rho_insitu = zn * ztm # density anomaly (masked) return rhop, rho_insitu -def plot_density_infos(array,e3t_new,min_=1017): +def plot_density_infos(array, e3t_new, min_=1017): """ - Plot density (rhop) information: surface density, density as a function of depth, and the difference in density as a function of depth. + Plot density (rhop) information: surface density, density as a function of depth, and the difference in density as a function of depth. The difference provides insights into density errors, particularly where it decreases instead of increasing Parameters: @@ -413,26 +474,26 @@ def plot_density_infos(array,e3t_new,min_=1017): None """ fig, axes = plt.subplots(1, 3, figsize=(18, 4)) - a = axes[0].pcolor(array["rhop"][0,0],vmin=min_) + a = axes[0].pcolor(array["rhop"][0, 0], vmin=min_) fig.colorbar(a, ax=axes[0]) - - rhop = array['rhop'].where(array["rhop"][0] != 0., np.nan) - diff_rhop = np.diff(rhop.isel(time_counter=0), axis=0) / e3t_new[0,:-1] - - for i in range(array["rhop"].sizes['x']): - for j in range(array["rhop"].sizes['y']): - rhop.isel(time_counter=0, x=i, y=j).plot(ax=axes[1]) - axes[2].plot(diff_rhop[:,j,i]) - - axes[0].set_title('Surface density') - axes[1].set_title('Density as a function of depth') - axes[2].set_title('Diff Density as a function of depth') + + rhop = array["rhop"].where(array["rhop"][0] != 0.0, np.nan) + diff_rhop = np.diff(rhop.isel(time_counter=0), axis=0) / e3t_new[0, :-1] + + for i in range(array["rhop"].sizes["x"]): + for j in range(array["rhop"].sizes["y"]): + rhop.isel(time_counter=0, x=i, y=j).plot(ax=axes[1]) + axes[2].plot(diff_rhop[:, j, i]) + + axes[0].set_title("Surface density") + axes[1].set_title("Density as a function of depth") + axes[2].set_title("Diff Density as a function of depth") # FONCTIONNE MAIS A VOIR def regularize_rho(rho): """ - Regularize the rho variable to ensure the density is alway superieur or equal at a lower depth. + Regularize the rho variable to ensure the density is alway superieur or equal at a lower depth. If the value found at k-1 depth is lower than the value found at k. k-1 value is replaces by k value. Parameters: @@ -441,20 +502,18 @@ def regularize_rho(rho): Returns: numpy.ndarray : Regularized array of density. """ - t,z,y,x = np.shape(rho) + t, z, y, x = np.shape(rho) for i in range(x): for j in range(y): - for k in range(z-1): - if rho[0,k,j,i]>rho[0,k+1,j,i]: - rho[0,k+1,j,i] = rho[0,k,j,i] + for k in range(z - 1): + if rho[0, k, j, i] > rho[0, k + 1, j, i]: + rho[0, k + 1, j, i] = rho[0, k, j, i] return rho - - - - -def update_u_velocity(restart,mask,e3t_new): #e3t_new = maskarray["e3t_0"].values[0,:,y_slice,x_slice] +def update_u_velocity( + restart, mask, e3t_new +): # e3t_new = maskarray["e3t_0"].values[0,:,y_slice,x_slice] """ Update the v-component velocity array.Meridional @@ -466,29 +525,34 @@ def update_u_velocity(restart,mask,e3t_new): #e3t_new = maskarray[" Returns: None """ - un = restart.un.copy() #initial v velocity of the restart - (t,z,y,x) - thetao = restart.tn - so = restart.sn - deptht = get_deptht(restart,mask) - e2t = mask.e2t #initial y axis cell's thickness on grid T - (y,x) - ff_f = mask.ff_f #corriolis force - (y,x) - tmask = mask.tmask - umask = mask.umask - vmask = mask.vmask - - _,rho_insitu = get_density(thetao,so,deptht,tmask) - rho_insitu = rho_insitu.where(tmask) #updated density - (t,z,y,x) - - ind_prof_u=(umask.argmin(dim="nav_lev")-1)*umask.isel(nav_lev=0) - - diff_y = rho_insitu.roll(y=-1) - rho_insitu # - (t,z,y,x) - u_new = 9.81/ff_f * (diff_y/rho_insitu*e3t_new/e2t).cumsum(dim="nav_lev") + un = restart.un.copy() # initial v velocity of the restart - (t,z,y,x) + thetao = restart.tn + so = restart.sn + deptht = get_deptht(restart, mask) + e2t = mask.e2t # initial y axis cell's thickness on grid T - (y,x) + ff_f = mask.ff_f # corriolis force - (y,x) + tmask = mask.tmask + umask = mask.umask + vmask = mask.vmask + + _, rho_insitu = get_density(thetao, so, deptht, tmask) + rho_insitu = rho_insitu.where( + tmask + ) # updated density - (t,z,y,x) + + ind_prof_u = (umask.argmin(dim="nav_lev") - 1) * umask.isel(nav_lev=0) + + diff_y = rho_insitu.roll(y=-1) - rho_insitu # - (t,z,y,x) + u_new = 9.81 / ff_f * (diff_y / rho_insitu * e3t_new / e2t).cumsum(dim="nav_lev") u_new = u_new - u_new.isel(nav_lev=ind_prof_u) - un_new = add_bottom_velocity(un,u_new,umask[0]) # add V_0 - (t,z,y,x) + un_new = add_bottom_velocity(un, u_new, umask[0]) # add V_0 - (t,z,y,x) return un_new -def update_v_velocity(restart,mask,e3t_new): #e3t_new = maskarray["e3t_0"].values[0,:,y_slice,x_slice] + +def update_v_velocity( + restart, mask, e3t_new +): # e3t_new = maskarray["e3t_0"].values[0,:,y_slice,x_slice] """ Update the v-component velocity array.Meridional @@ -500,31 +564,33 @@ def update_v_velocity(restart,mask,e3t_new): #e3t_new = maskarray[" Returns: New v_velocity """ - vn = restart.vn.copy() #initial v velocity of the restart - (t,z,y,x) - thetao = restart.tn - so = restart.sn - deptht = get_deptht(restart,mask) - e1t = mask.e1t #initial y axis cell's thickness on grid T - (y,x) - ff_f = mask.ff_f #corriolis force - (y,x) - tmask = mask.tmask - vmask = mask.vmask - - _,rho_insitu = get_density(thetao,so,deptht,tmask) - rho_insitu = rho_insitu.where(tmask) #updated density - (t,z,y,x) - - ind_prof_v=(vmask.argmin(dim="nav_lev")-1)*vmask.isel(nav_lev=0) - - diff_x = -rho_insitu.roll(x=1) + rho_insitu # - (t,z,y,x) - v_new = 9.81/ff_f * (diff_x/rho_insitu*e3t_new/e1t).cumsum(dim="nav_lev") # v without V_0 - (t,z,y,x) C: On intègre vers le fond puis on retire la valeur au fond sur toute la colonne pour avoir v_fond=vo + vn = restart.vn.copy() # initial v velocity of the restart - (t,z,y,x) + thetao = restart.tn + so = restart.sn + deptht = get_deptht(restart, mask) + e1t = mask.e1t # initial y axis cell's thickness on grid T - (y,x) + ff_f = mask.ff_f # corriolis force - (y,x) + tmask = mask.tmask + vmask = mask.vmask + + _, rho_insitu = get_density(thetao, so, deptht, tmask) + rho_insitu = rho_insitu.where( + tmask + ) # updated density - (t,z,y,x) + + ind_prof_v = (vmask.argmin(dim="nav_lev") - 1) * vmask.isel(nav_lev=0) + + diff_x = -rho_insitu.roll(x=1) + rho_insitu # - (t,z,y,x) + v_new = ( + 9.81 / ff_f * (diff_x / rho_insitu * e3t_new / e1t).cumsum(dim="nav_lev") + ) # v without V_0 - (t,z,y,x) C: On intègre vers le fond puis on retire la valeur au fond sur toute la colonne pour avoir v_fond=vo v_new = v_new - v_new.isel(nav_lev=ind_prof_v) - vn_new = add_bottom_velocity(vn,v_new,vmask[0]) + vn_new = add_bottom_velocity(vn, v_new, vmask[0]) return vn_new - - -def add_bottom_velocity(v_restart,v_update,mask): +def add_bottom_velocity(v_restart, v_update, mask): """ Add bottom velocity values to the updated velocity array. @@ -536,9 +602,8 @@ def add_bottom_velocity(v_restart,v_update,mask): Returns: v_restart (numpy.array): Velocity array with bottom velocity values added. """ - ind_prof=(mask.argmin(dim="nav_lev")-1)*mask.isel(nav_lev=0) - v_fond=v_restart.isel(nav_lev=ind_prof,time_counter=0) + ind_prof = (mask.argmin(dim="nav_lev") - 1) * mask.isel(nav_lev=0) + v_fond = v_restart.isel(nav_lev=ind_prof, time_counter=0) mask_nan_update = np.isnan(v_update) - v_new = mask_nan_update * v_restart + (1-mask_nan_update) * (v_fond + v_update) + v_new = mask_nan_update * v_restart + (1 - mask_nan_update) * (v_fond + v_update) return v_restart - From 6e6d518bded7748dd04c8ca1afdc9436fd84603d Mon Sep 17 00:00:00 2001 From: Matt Archer Date: Wed, 11 Sep 2024 22:18:34 +0100 Subject: [PATCH 2/8] Correct simple errors in Jupyter notebook files and apply Ruff autoformatter --- Notebooks/Jumper.ipynb | 433 +++++++++++++++++++++---------------- Notebooks/Restart.ipynb | 364 ++++++++++++++----------------- main_forecast.py | 104 +++++---- main_restart.py | 105 +++++---- standalone/restarter.py | 316 ++++++++++++++++----------- standalone/restarter_V2.py | 368 +++++++++++++++++-------------- 6 files changed, 934 insertions(+), 756 deletions(-) diff --git a/Notebooks/Jumper.ipynb b/Notebooks/Jumper.ipynb index 5abfb73..e408915 100644 --- a/Notebooks/Jumper.ipynb +++ b/Notebooks/Jumper.ipynb @@ -18,14 +18,15 @@ "import numpy as np\n", "import pandas as pd\n", "import matplotlib.pyplot as plt\n", - "import sys \n", + "import sys\n", "import os\n", "import pickle\n", - "import random \n", - "sys.path.insert(0,\"../lib/\")\n", + "import random\n", + "\n", + "sys.path.insert(0, \"../lib/\")\n", "from forecast import Predictions, Simulation, load_ts\n", - "#import importlib\n", - "#importlib.reload(jumper)" + "# import importlib\n", + "# importlib.reload(jumper)" ] }, { @@ -55,11 +56,11 @@ }, "outputs": [], "source": [ - "path = \"/scratchu/mtissot/SIMUp6Y\"\n", - "ye = True\n", + "path = \"/scratchu/mtissot/SIMUp6Y\"\n", + "ye = True\n", "start = 25\n", - "end = 125\n", - "comp = None #default = 0.9\n", + "end = 125\n", + "comp = None # default = 0.9\n", "steps = 30" ] }, @@ -109,24 +110,24 @@ } ], "source": [ - "simu_zos = Simulation(path=path,start=start,end=end,ye=ye,term=\"zos\") \n", + "simu_zos = Simulation(path=path, start=start, end=end, ye=ye, term=\"zos\")\n", "print(\"zos loaded\")\n", - "simu_so = Simulation(path=path,start=start,end=end,ye=ye,term=\"so\") \n", + "simu_so = Simulation(path=path, start=start, end=end, ye=ye, term=\"so\")\n", "print(\"so loaded\")\n", - "simu_thetao = Simulation(path=path,start=start,end=end,ye=ye,term=\"thetao\") \n", + "simu_thetao = Simulation(path=path, start=start, end=end, ye=ye, term=\"thetao\")\n", "print(\"thetao loaded\")\n", "\n", "\n", - "simu_zos.prepare() \n", + "simu_zos.prepare()\n", "print(\"\\nzos prepared\")\n", - "simu_so.prepare() \n", + "simu_so.prepare()\n", "print(\"so prepared\")\n", - "simu_thetao.prepare() \n", + "simu_thetao.prepare()\n", "print(\"thetao prepared\")\n", "\n", "\n", - "#LoadSimu : essayer avec des chunks plus gros et plus de jobs pour 3D \n", - "#Prepare : Cut spin Up - Remove Closed seas - Standardize - (old : Replace bathy nan values by the mean) - to float32" + "# LoadSimu : essayer avec des chunks plus gros et plus de jobs pour 3D\n", + "# Prepare : Cut spin Up - Remove Closed seas - Standardize - (old : Replace bathy nan values by the mean) - to float32" ] }, { @@ -149,14 +150,14 @@ } ], "source": [ - "simus = [simu_zos,simu_so,simu_thetao]\n", - "names = [\"zos\",\"so\",\"thetao\"]\n", + "simus = [simu_zos, simu_so, simu_thetao]\n", + "names = [\"zos\", \"so\", \"thetao\"]\n", "\n", - "fig, axes = plt.subplots(1,len(simus), figsize=(20,4))\n", + "fig, axes = plt.subplots(1, len(simus), figsize=(20, 4))\n", "\n", "for i, simu in enumerate(simus):\n", - " if simu.z_size is not None : \n", - " im = axes[i].pcolor(simu.simulation[0,0])\n", + " if simu.z_size is not None:\n", + " im = axes[i].pcolor(simu.simulation[0, 0])\n", " axes[i].set_title(f\"Surface {names[i]}\")\n", " else:\n", " im = axes[i].pcolor(simu.simulation[0])\n", @@ -164,14 +165,14 @@ " plt.colorbar(im, ax=axes[i])\n", "\n", "if False:\n", - " fig, axes = plt.subplots(1,len(simus), figsize=(20,4))\n", + " fig, axes = plt.subplots(1, len(simus), figsize=(20, 4))\n", "\n", " for i, simu in enumerate(simus):\n", - " if simu.z_size is not None : \n", - " plt.plot(np.mean(simu.desc[\"ssca\"],axis=(1,2,3)))\n", + " if simu.z_size is not None:\n", + " plt.plot(np.mean(simu.desc[\"ssca\"], axis=(1, 2, 3)))\n", " axes[i].set_title(f\"Average ssca - {names[i]}\")\n", " else:\n", - " plt.plot(np.mean(simu.desc[\"ssca\"],axis=(1,2)))\n", + " plt.plot(np.mean(simu.desc[\"ssca\"], axis=(1, 2)))\n", " axes[i].set_title(f\"Average ssca - {names[i]}\")\n", " plt.colorbar(im, ax=axes[i])" ] @@ -247,29 +248,29 @@ } ], "source": [ - "simus = [simu_zos,simu_so,simu_thetao]\n", - "names = [\"zos\",\"so\",\"thetao\"]\n", - "colors = [\"tab:blue\",\"tab:green\",\"tab:red\"]\n", + "simus = [simu_zos, simu_so, simu_thetao]\n", + "names = [\"zos\", \"so\", \"thetao\"]\n", + "colors = [\"tab:blue\", \"tab:green\", \"tab:red\"]\n", "fig, axes = plt.subplots(3, 3, figsize=(20, 10))\n", "\n", "for i, simu in enumerate(simus):\n", - " axes[0, i].plot(simu.pca.explained_variance_ratio_*100,\"ko\", markersize =4)\n", + " axes[0, i].plot(simu.pca.explained_variance_ratio_ * 100, \"ko\", markersize=4)\n", " axes[0, i].set_title(f\"Explained Variance Ratio - {names[i]}\")\n", "\n", " axes[1, i].plot(simu.components[:, 0], color=colors[i], alpha=0.9, label=\"1st comp\")\n", " axes[1, i].plot(simu.components[:, 1], color=colors[i], alpha=0.4, label=\"2nd comp\")\n", " axes[1, i].set_title(f\"Components - {names[i]}\")\n", " axes[1, i].legend()\n", - " \n", - " if simu.z_size is not None : \n", + "\n", + " if simu.z_size is not None:\n", " im = axes[2, i].pcolor(simu.getPC(0)[0])\n", - " plt.colorbar(im, ax=axes[2, i])#,label=units[i])\n", + " plt.colorbar(im, ax=axes[2, i]) # ,label=units[i])\n", " axes[2, i].set_title(f\"1st PC of the surface - {names[i]}\")\n", " else:\n", " im = axes[2, i].pcolor(simu.getPC(0))\n", - " plt.colorbar(im, ax=axes[2, i])#,label=units[i])\n", + " plt.colorbar(im, ax=axes[2, i]) # ,label=units[i])\n", " axes[2, i].set_title(f\"1st PC - {names[i]}\")\n", - " \n", + "\n", "fig.suptitle(\"PCA INFO\")\n", "plt.show()" ] @@ -294,10 +295,10 @@ ], "source": [ "n = len(simu_zos.pca.explained_variance_ratio_)\n", - "rec_zos, rmseV_zos, rmseM_zos = simu_zos.rmseOfPCA(n)\n", + "rec_zos, rmseV_zos, rmseM_zos = simu_zos.rmseOfPCA(n)\n", "print(\"RMSE compilated for zos\")\n", "n = len(simu_so.pca.explained_variance_ratio_)\n", - "rec_so, rmseV_so, rmseM_so = simu_so.rmseOfPCA(n)\n", + "rec_so, rmseV_so, rmseM_so = simu_so.rmseOfPCA(n)\n", "print(\"RMSE compilated for so\")\n", "n = len(simu_thetao.pca.explained_variance_ratio_)\n", "rec_thetao, rmseV_thetao, rmseM_thetao = simu_thetao.rmseOfPCA(n)\n", @@ -312,7 +313,10 @@ "outputs": [], "source": [ "import xarray as xr\n", - "array = xr.open_dataset(simu_so.files[-1], decode_times=False,chunks={\"time\": 200, \"x\":120})" + "\n", + "array = xr.open_dataset(\n", + " simu_so.files[-1], decode_times=False, chunks={\"time\": 200, \"x\": 120}\n", + ")" ] }, { @@ -335,16 +339,32 @@ "source": [ "rmseV_zos\n", "values = [rmseV_zos, rmseV_so.T, rmseV_thetao.T]\n", - "maps = [rmseM_zos, rmseM_so, rmseM_thetao]\n", - "names = [\"zos\", \"so\", \"thetao\"]\n", + "maps = [rmseM_zos, rmseM_so, rmseM_thetao]\n", + "names = [\"zos\", \"so\", \"thetao\"]\n", "colors = [\"tab:blue\", \"darkgreen\", \"darkred\"]\n", "\n", - "fig = plt.figure(figsize=(6,8))\n", + "fig = plt.figure(figsize=(6, 8))\n", "for i in range(3):\n", " if i == 0:\n", - " plt.errorbar(np.mean(values[i]), array.deptht[0], xerr=np.std(values[i]), fmt='.', label=names[i], color=colors[i], ecolor=\"grey\")\n", + " plt.errorbar(\n", + " np.mean(values[i]),\n", + " array.deptht[0],\n", + " xerr=np.std(values[i]),\n", + " fmt=\".\",\n", + " label=names[i],\n", + " color=colors[i],\n", + " ecolor=\"grey\",\n", + " )\n", " else:\n", - " plt.errorbar(np.mean(values[i], axis=1), array.deptht, xerr=np.std(values[i], axis=1), fmt='.', label=names[i], color=colors[i], ecolor=\"grey\")\n", + " plt.errorbar(\n", + " np.mean(values[i], axis=1),\n", + " array.deptht,\n", + " xerr=np.std(values[i], axis=1),\n", + " fmt=\".\",\n", + " label=names[i],\n", + " color=colors[i],\n", + " ecolor=\"grey\",\n", + " )\n", "\n", "plt.title(\"PCA EVALUATION - 1st COMP\")\n", "plt.ylabel(\"Depth\")\n", @@ -352,7 +372,7 @@ "plt.legend()\n", "\n", "plt.gca().invert_yaxis()\n", - "plt.show()\n" + "plt.show()" ] }, { @@ -375,22 +395,22 @@ } ], "source": [ - "values = [rmseV_zos,rmseV_so,rmseV_thetao]\n", - "maps = [rmseM_zos,rmseM_so,rmseM_thetao]\n", - "names = [\"zos\",\"so\",\"thetao\"]\n", + "values = [rmseV_zos, rmseV_so, rmseV_thetao]\n", + "maps = [rmseM_zos, rmseM_so, rmseM_thetao]\n", + "names = [\"zos\", \"so\", \"thetao\"]\n", "\n", "fig, axes = plt.subplots(1, 3, figsize=(20, 5))\n", "\n", "for i in range(3):\n", - " if len(np.shape(maps[i]))==2: \n", + " if len(np.shape(maps[i])) == 2:\n", " im = axes[i].pcolor(maps[i])\n", " plt.colorbar(im, ax=axes[i])\n", " axes[i].set_title(f\"Mean rmse map - {names[i]}\")\n", " else:\n", - " im = axes[i].pcolor(np.nanmean(maps[i],axis=0))\n", + " im = axes[i].pcolor(np.nanmean(maps[i], axis=0))\n", " plt.colorbar(im, ax=axes[i])\n", " axes[i].set_title(f\"Average rmse map - {names[i]}\")\n", - " \n", + "\n", "fig.suptitle(\"PCA EVALUATION - 1st COMP\")\n", "plt.show()" ] @@ -435,16 +455,16 @@ "if not os.path.exists(f):\n", " os.makedirs(f)\n", "\n", - "with open(f + 'pca_so', 'wb') as file:\n", + "with open(f + \"pca_so\", \"wb\") as file:\n", " pickle.dump(simu_so.pca, file)\n", - "with open(f + 'pca_thetao', 'wb') as file:\n", + "with open(f + \"pca_thetao\", \"wb\") as file:\n", " pickle.dump(simu_thetao.pca, file)\n", - "with open(f + 'pca_zos', 'wb') as file:\n", + "with open(f + \"pca_zos\", \"wb\") as file:\n", " pickle.dump(simu_zos.pca, file)\n", "\n", "np.savez(f + \"so\", **so_dico)\n", "np.savez(f + \"thetao\", **thetao_dico)\n", - "np.savez(f + \"zos\", **zos_dico)\n" + "np.savez(f + \"zos\", **zos_dico)" ] }, { @@ -484,15 +504,15 @@ "source": [ "f = \"/data/mtissot/spinup_data/simus_prepared/\"\n", "\n", - "df_zos,infos_zos = load_ts(f,\"zos\")\n", - "df_so,infos_so = load_ts(f,\"so\")\n", - "df_thetao,infos_thetao = load_ts(f,\"thetao\")\n", + "df_zos, infos_zos = load_ts(f, \"zos\")\n", + "df_so, infos_so = load_ts(f, \"so\")\n", + "df_thetao, infos_thetao = load_ts(f, \"thetao\")\n", "\n", "random.seed(20)\n", "\n", - "ts_zos = Predictions(\"zos\",df_zos,infos_zos) \n", - "ts_so = Predictions(\"so\",df_so,infos_so) \n", - "ts_thetao = Predictions(\"thetao\",df_thetao,infos_thetao) " + "ts_zos = Predictions(\"zos\", df_zos, infos_zos)\n", + "ts_so = Predictions(\"so\", df_so, infos_so)\n", + "ts_thetao = Predictions(\"thetao\", df_thetao, infos_thetao)" ] }, { @@ -557,16 +577,17 @@ ], "source": [ "import random\n", + "\n", "random.seed(100)\n", - "comp,train_len,steps=1,len(ts_zos),30#,20#len(ts_zos),30\n", + "comp, train_len, steps = 1, len(ts_zos), 30 # ,20#len(ts_zos),30\n", "\n", - "hat_zos, std_zos, metrics_zos = ts_zos.forecast_ts(comp,train_len,steps)\n", - "hat_so, std_so, metrics_so = ts_so.forecast_ts(comp,train_len,steps)\n", - "hat_thetao, std_thetao, metrics_thetao = ts_thetao.forecast_ts(comp,train_len,steps)\n", + "hat_zos, std_zos, metrics_zos = ts_zos.forecast_ts(comp, train_len, steps)\n", + "hat_so, std_so, metrics_so = ts_so.forecast_ts(comp, train_len, steps)\n", + "hat_thetao, std_thetao, metrics_thetao = ts_thetao.forecast_ts(comp, train_len, steps)\n", "\n", - "ts_zos.show(comp,hat_zos,std_zos,train_len)\n", - "ts_so.show(comp,hat_so,std_so,train_len,color=\"darkgreen\")\n", - "ts_thetao.show(comp,hat_thetao,std_thetao,train_len,color=\"darkred\")" + "ts_zos.show(comp, hat_zos, std_zos, train_len)\n", + "ts_so.show(comp, hat_so, std_so, train_len, color=\"darkgreen\")\n", + "ts_thetao.show(comp, hat_thetao, std_thetao, train_len, color=\"darkred\")" ] }, { @@ -578,12 +599,12 @@ }, "outputs": [], "source": [ - "hat_zos, hat_std_zos, metrics = ts_zos.Forecast(train_len,steps)\n", - "hat_so, hat_std_so, metrics = ts_so.Forecast(train_len,steps)\n", - "hat_thetao, hat_std_thetao, metrics = ts_thetao.Forecast(train_len,steps)\n", + "hat_zos, hat_std_zos, metrics = ts_zos.Forecast(train_len, steps)\n", + "hat_so, hat_std_so, metrics = ts_so.Forecast(train_len, steps)\n", + "hat_thetao, hat_std_thetao, metrics = ts_thetao.Forecast(train_len, steps)\n", "\n", "\n", - "#Utile de remettre la serie temporelle initiale pour l'analyse des erreurs\n", + "# Utile de remettre la serie temporelle initiale pour l'analyse des erreurs\n", "hat_zos[:-30] = df_zos[:]\n", "hat_so[:-30] = df_so[:]\n", "hat_thetao[:-30] = df_thetao[:]" @@ -606,17 +627,17 @@ } ], "source": [ - "#CHANGER PRENDRE SERIE TEMP TRUTH + PRED\n", + "# CHANGER PRENDRE SERIE TEMP TRUTH + PRED\n", "n = np.shape(ts_zos.info[\"ts\"])[1]\n", - "predictions_zos = ts_zos.reconstruct(hat_zos,n)\n", + "predictions_zos = ts_zos.reconstruct(hat_zos, n)\n", "print(\"zos reconstructed with all comp\")\n", "\n", "n = np.shape(ts_so.info[\"ts\"])[1]\n", - "predictions_so = ts_so.reconstruct(hat_so,n)\n", + "predictions_so = ts_so.reconstruct(hat_so, n)\n", "print(\"so reconstructed with all comp\")\n", "\n", "n = np.shape(ts_thetao.info[\"ts\"])[1]\n", - "predictions_thetao = ts_thetao.reconstruct(hat_thetao,n)\n", + "predictions_thetao = ts_thetao.reconstruct(hat_thetao, n)\n", "print(\"thetao reconstructed with all comp\")" ] }, @@ -640,19 +661,19 @@ } ], "source": [ - "maps = [predictions_zos,predictions_so,predictions_thetao]\n", - "names = [\"zos\",\"so\",\"thetao\"]\n", + "maps = [predictions_zos, predictions_so, predictions_thetao]\n", + "names = [\"zos\", \"so\", \"thetao\"]\n", "\n", - "fig, axes = plt.subplots(1,len(maps), figsize=(20,4))\n", + "fig, axes = plt.subplots(1, len(maps), figsize=(20, 4))\n", "\n", "for i, simu in enumerate(maps):\n", - " if len(np.shape(simu)) > 3 : \n", - " im = axes[i].pcolor(simu[0,0])\n", + " if len(np.shape(simu)) > 3:\n", + " im = axes[i].pcolor(simu[0, 0])\n", " axes[i].set_title(f\"Surface {names[i]}\")\n", " else:\n", " im = axes[i].pcolor(simu[0])\n", " axes[i].set_title(f\"{names[i]}\")\n", - " plt.colorbar(im, ax=axes[i])\n" + " plt.colorbar(im, ax=axes[i])" ] }, { @@ -695,14 +716,15 @@ "outputs": [], "source": [ "import sys\n", - "sys.path.insert(0,\"../lib/\")\n", + "\n", + "sys.path.insert(0, \"../lib/\")\n", "import forecast\n", "import numpy as np\n", "import xarray as xr\n", "import matplotlib.pyplot as plt\n", "from forecast import Predictions, Simulation, load_ts\n", - "#import importlib\n", - "#importlib.reload(p1)" + "# import importlib\n", + "# importlib.reload(p1)" ] }, { @@ -712,8 +734,8 @@ "metadata": {}, "outputs": [], "source": [ - "pred_zos = np.load(\"/data/mtissot/spinup_data/simus_predicted/pred_zos.npy\")\n", - "pred_so = np.load(\"/data/mtissot/spinup_data/simus_predicted/pred_so.npy\")\n", + "pred_zos = np.load(\"/data/mtissot/spinup_data/simus_predicted/pred_zos.npy\")\n", + "pred_so = np.load(\"/data/mtissot/spinup_data/simus_predicted/pred_so.npy\")\n", "pred_thetao = np.load(\"/data/mtissot/spinup_data/simus_predicted/pred_thetao.npy\")" ] }, @@ -740,23 +762,23 @@ } ], "source": [ - "id_,start2,end2 =\"106\",25,125+30#start,end+steps\n", + "id_, start2, end2 = \"106\", 25, 125 + 30 # start,end+steps\n", "ye = False\n", "\n", - "path =\"/scratchu/mtissot/SIMUp6Y\"\n", - "ref_zos = Simulation(path=path,start=start2,end=end2,ye=ye,term=\"zos\") \n", + "path = \"/scratchu/mtissot/SIMUp6Y\"\n", + "ref_zos = Simulation(path=path, start=start2, end=end2, ye=ye, term=\"zos\")\n", "print(\"zos loaded\")\n", - "ref_so = Simulation(path=path,start=start2,end=end2,ye=ye,term=\"so\") \n", + "ref_so = Simulation(path=path, start=start2, end=end2, ye=ye, term=\"so\")\n", "print(\"so loaded\")\n", - "ref_thetao = Simulation(path=path,start=start2,end=end2,ye=ye,term=\"thetao\") \n", + "ref_thetao = Simulation(path=path, start=start2, end=end2, ye=ye, term=\"thetao\")\n", "print(\"thetao loaded\")\n", "\n", - "#REMTTRE BIEN GET DATA APRES return grid[:1] => return grid\n", - "ref_zos.prepare(stand=False) \n", + "# REMTTRE BIEN GET DATA APRES return grid[:1] => return grid\n", + "ref_zos.prepare(stand=False)\n", "print(\"\\nzos prepared\")\n", - "ref_so.prepare(stand=False) \n", + "ref_so.prepare(stand=False)\n", "print(\"so prepared\")\n", - "ref_thetao.prepare(stand=False) \n", + "ref_thetao.prepare(stand=False)\n", "print(\"thetao prepared\")" ] }, @@ -767,7 +789,9 @@ "metadata": {}, "outputs": [], "source": [ - "array = xr.open_dataset(ref_so.files[-1], decode_times=False,chunks={\"time\": 200, \"x\":120})\n", + "array = xr.open_dataset(\n", + " ref_so.files[-1], decode_times=False, chunks={\"time\": 200, \"x\": 120}\n", + ")\n", "depth = array.deptht\n", "del array" ] @@ -791,27 +815,27 @@ "err_thetao = np.abs((ref_thetao.simulation - pred_thetao))\n", "err_zos = np.abs((ref_zos.simulation - pred_zos))\n", "\n", - "#predictions\n", - "i=15\n", - "mean_err_so_pred = np.nanmean(err_so[-i:],axis=(0,2,3))\n", - "std_err_so_pred = np.nanstd(err_so[-i:],axis=(0,2,3))\n", + "# predictions\n", + "i = 15\n", + "mean_err_so_pred = np.nanmean(err_so[-i:], axis=(0, 2, 3))\n", + "std_err_so_pred = np.nanstd(err_so[-i:], axis=(0, 2, 3))\n", "\n", - "mean_err_thetao_pred = np.nanmean(err_thetao[-i:],axis=(0,2,3))\n", - "std_err_thetao_pred = np.nanstd(err_thetao[-i:],axis=(0,2,3))\n", + "mean_err_thetao_pred = np.nanmean(err_thetao[-i:], axis=(0, 2, 3))\n", + "std_err_thetao_pred = np.nanstd(err_thetao[-i:], axis=(0, 2, 3))\n", "\n", - "mean_err_zos_pred = np.nanmean(err_zos[-i:],axis=(0,1,2))\n", - "std_err_zos_pred = np.nanstd(err_zos[-i:],axis=(0,1,2))\n", + "mean_err_zos_pred = np.nanmean(err_zos[-i:], axis=(0, 1, 2))\n", + "std_err_zos_pred = np.nanstd(err_zos[-i:], axis=(0, 1, 2))\n", "\n", - "#reference\n", - "i=30\n", - "mean_err_so_ref = np.nanmean(err_so[:-i],axis=(0,2,3))\n", - "std_err_thetao_ref = np.nanstd(err_so[:-i],axis=(0,2,3))\n", + "# reference\n", + "i = 30\n", + "mean_err_so_ref = np.nanmean(err_so[:-i], axis=(0, 2, 3))\n", + "std_err_thetao_ref = np.nanstd(err_so[:-i], axis=(0, 2, 3))\n", "\n", - "mean_err_thetao_ref = np.nanmean(err_thetao[:-i],axis=(0,2,3))\n", - "std_err_so_ref = np.nanstd(err_thetao[:-i],axis=(0,2,3))\n", + "mean_err_thetao_ref = np.nanmean(err_thetao[:-i], axis=(0, 2, 3))\n", + "std_err_so_ref = np.nanstd(err_thetao[:-i], axis=(0, 2, 3))\n", "\n", - "mean_err_zos_ref = np.nanmean(err_zos[:-i],axis=(0,1,2))\n", - "std_err_zos_ref = np.nanstd(err_zos[:-i],axis=(0,1,2))" + "mean_err_zos_ref = np.nanmean(err_zos[:-i], axis=(0, 1, 2))\n", + "std_err_zos_ref = np.nanstd(err_zos[:-i], axis=(0, 1, 2))" ] }, { @@ -832,16 +856,16 @@ } ], "source": [ - "categories = ['Prediction', 'PCA']\n", - "means = [mean_err_zos_pred, mean_err_zos_ref]\n", - "errors = [std_err_zos_pred, std_err_zos_ref]\n", + "categories = [\"Prediction\", \"PCA\"]\n", + "means = [mean_err_zos_pred, mean_err_zos_ref]\n", + "errors = [std_err_zos_pred, std_err_zos_ref]\n", "\n", - "fig, ax = plt.subplots(figsize=(6,3))\n", - "ax.bar(categories, means, yerr=errors, capsize=5, color=['tab:blue', 'grey'])\n", + "fig, ax = plt.subplots(figsize=(6, 3))\n", + "ax.bar(categories, means, yerr=errors, capsize=5, color=[\"tab:blue\", \"grey\"])\n", "\n", - "ax.set_title('Mean Error with Standard Error')\n", - "ax.set_ylabel('Error')\n", - "ax.set_xlabel('Categories')\n", + "ax.set_title(\"Mean Error with Standard Error\")\n", + "ax.set_ylabel(\"Error\")\n", + "ax.set_xlabel(\"Categories\")\n", "plt.show()" ] }, @@ -863,26 +887,59 @@ } ], "source": [ - "fig, axes = plt.subplots(2,1, figsize=(10,6))\n", - "\n", - "#Plot thetao infos\n", - "axes[0].plot(depth, mean_err_thetao_ref, color=\"black\", label=\"thetao\",linestyle=\"dashed\",alpha=0.6)\n", - "axes[0].fill_between(depth, mean_err_thetao_ref + std_err_thetao_ref, mean_err_thetao_ref - std_err_thetao_ref, color=\"black\", alpha=0.1)\n", + "fig, axes = plt.subplots(2, 1, figsize=(10, 6))\n", + "\n", + "# Plot thetao infos\n", + "axes[0].plot(\n", + " depth,\n", + " mean_err_thetao_ref,\n", + " color=\"black\",\n", + " label=\"thetao\",\n", + " linestyle=\"dashed\",\n", + " alpha=0.6,\n", + ")\n", + "axes[0].fill_between(\n", + " depth,\n", + " mean_err_thetao_ref + std_err_thetao_ref,\n", + " mean_err_thetao_ref - std_err_thetao_ref,\n", + " color=\"black\",\n", + " alpha=0.1,\n", + ")\n", "\n", "axes[0].plot(depth, mean_err_thetao_pred, color=\"darkred\", label=\"thetao\")\n", - "axes[0].fill_between(depth, mean_err_thetao_pred + std_err_thetao_pred, mean_err_thetao_pred - std_err_thetao_pred, color=\"darkred\", alpha=0.2)\n", - "axes[0].set_xlabel('Depth')\n", - "axes[0].set_ylabel('Mean Error')\n", + "axes[0].fill_between(\n", + " depth,\n", + " mean_err_thetao_pred + std_err_thetao_pred,\n", + " mean_err_thetao_pred - std_err_thetao_pred,\n", + " color=\"darkred\",\n", + " alpha=0.2,\n", + ")\n", + "axes[0].set_xlabel(\"Depth\")\n", + "axes[0].set_ylabel(\"Mean Error\")\n", "axes[0].legend()\n", "\n", - "#Plot so infos\n", - "axes[1].plot(depth, mean_err_so_ref, color=\"black\", label=\"so\",linestyle=\"dashed\",alpha=0.6)\n", - "axes[1].fill_between(depth, mean_err_so_ref + std_err_so_ref, mean_err_so_ref - std_err_so_ref, color=\"black\", alpha=0.1)\n", + "# Plot so infos\n", + "axes[1].plot(\n", + " depth, mean_err_so_ref, color=\"black\", label=\"so\", linestyle=\"dashed\", alpha=0.6\n", + ")\n", + "axes[1].fill_between(\n", + " depth,\n", + " mean_err_so_ref + std_err_so_ref,\n", + " mean_err_so_ref - std_err_so_ref,\n", + " color=\"black\",\n", + " alpha=0.1,\n", + ")\n", "\n", "axes[1].plot(depth, mean_err_so_pred, color=\"darkgreen\", label=\"so\")\n", - "axes[1].fill_between(depth, mean_err_so_pred + std_err_so_pred, mean_err_so_pred - std_err_so_pred, color=\"darkgreen\", alpha=0.2)\n", - "axes[1].set_xlabel('Depth')\n", - "axes[1].set_ylabel('Mean Error')\n", + "axes[1].fill_between(\n", + " depth,\n", + " mean_err_so_pred + std_err_so_pred,\n", + " mean_err_so_pred - std_err_so_pred,\n", + " color=\"darkgreen\",\n", + " alpha=0.2,\n", + ")\n", + "axes[1].set_xlabel(\"Depth\")\n", + "axes[1].set_ylabel(\"Mean Error\")\n", "axes[1].legend()\n", "\n", "fig.suptitle(f\"Absolute error on {i} last predictions\")\n", @@ -908,14 +965,14 @@ } ], "source": [ - "fig, axes = plt.subplots(1,2, figsize=(15,4))\n", + "fig, axes = plt.subplots(1, 2, figsize=(15, 4))\n", "\n", - "axes[0].plot(depth,mean_pred_so,label=\"predictions\")\n", - "axes[0].plot(depth,mean_ref_so,label=\"reference\")\n", + "axes[0].plot(depth, mean_pred_so, label=\"predictions\")\n", + "axes[0].plot(depth, mean_ref_so, label=\"reference\")\n", "axes[0].legend()\n", "\n", - "axes[1].plot(depth,mean_pred_thetao,label=\"predictions\")\n", - "axes[1].plot(depth,mean_ref_thetao,label=\"reference\")\n", + "axes[1].plot(depth, mean_pred_thetao, label=\"predictions\")\n", + "axes[1].plot(depth, mean_ref_thetao, label=\"reference\")\n", "axes[1].legend()\n", "\n", "fig.suptitle(f\"Average over depth\")\n", @@ -930,14 +987,14 @@ "metadata": {}, "outputs": [], "source": [ - "mean_pred_so = np.nanmean(pred_so,axis=(1,2,3))\n", - "mean_ref_so = np.nanmean(ref_so.simulation,axis=(1,2,3))\n", + "mean_pred_so = np.nanmean(pred_so, axis=(1, 2, 3))\n", + "mean_ref_so = np.nanmean(ref_so.simulation, axis=(1, 2, 3))\n", "\n", - "mean_pred_thetao = np.nanmean(pred_thetao,axis=(1,2,3))\n", - "mean_ref_thetao = np.nanmean(ref_thetao.simulation,axis=(1,2,3))\n", + "mean_pred_thetao = np.nanmean(pred_thetao, axis=(1, 2, 3))\n", + "mean_ref_thetao = np.nanmean(ref_thetao.simulation, axis=(1, 2, 3))\n", "\n", - "mean_pred_zos = np.nanmean(pred_zos,axis=(1,2))\n", - "mean_ref_zos = np.nanmean(ref_zos.simulation,axis=(1,2))" + "mean_pred_zos = np.nanmean(pred_zos, axis=(1, 2))\n", + "mean_ref_zos = np.nanmean(ref_zos.simulation, axis=(1, 2))" ] }, { @@ -958,15 +1015,15 @@ } ], "source": [ - "mean_pred = [mean_pred_zos,mean_pred_so, mean_pred_thetao]\n", - "mean_ref = [mean_ref_zos,mean_ref_so, mean_ref_thetao]\n", - "names = [\"zos\", \"so\", \"thetao\"]\n", + "mean_pred = [mean_pred_zos, mean_pred_so, mean_pred_thetao]\n", + "mean_ref = [mean_ref_zos, mean_ref_so, mean_ref_thetao]\n", + "names = [\"zos\", \"so\", \"thetao\"]\n", "colors = [\"tab:blue\", \"darkgreen\", \"darkred\"]\n", "\n", - "fig, axes = plt.subplots(3,1,figsize=(10,8))\n", - "for i,ax in enumerate(axes):\n", - " ax.plot(mean_pred[i],color=colors[i],label=names[i])\n", - " ax.plot(mean_ref[i],color=\"grey\",label=\"ref\",linestyle=\"dashed\")\n", + "fig, axes = plt.subplots(3, 1, figsize=(10, 8))\n", + "for i, ax in enumerate(axes):\n", + " ax.plot(mean_pred[i], color=colors[i], label=names[i])\n", + " ax.plot(mean_ref[i], color=\"grey\", label=\"ref\", linestyle=\"dashed\")\n", " ax.legend()" ] }, @@ -995,9 +1052,13 @@ } ], "source": [ - "ref_zos.simulation = (ref_zos.simulation - ref_zos.desc[\"mean\"]) /(2*ref_zos.desc[\"std\"])\n", - "ref_so.simulation = (ref_so.simulation - ref_so.desc[\"mean\"]) /(2*ref_so.desc[\"std\"])\n", - "ref_thetao.simulation = (ref_thetao.simulation - ref_thetao.desc[\"mean\"])/(2*ref_thetao.desc[\"std\"])\n", + "ref_zos.simulation = (ref_zos.simulation - ref_zos.desc[\"mean\"]) / (\n", + " 2 * ref_zos.desc[\"std\"]\n", + ")\n", + "ref_so.simulation = (ref_so.simulation - ref_so.desc[\"mean\"]) / (2 * ref_so.desc[\"std\"])\n", + "ref_thetao.simulation = (ref_thetao.simulation - ref_thetao.desc[\"mean\"]) / (\n", + " 2 * ref_thetao.desc[\"std\"]\n", + ")\n", "\n", "ref_zos.applyPCA()\n", "print(\"PCA applied on zos\")\n", @@ -1025,29 +1086,29 @@ } ], "source": [ - "simus = [ref_zos,ref_so,ref_thetao]\n", - "names = [\"zos\",\"so\",\"thetao\"]\n", - "colors = [\"tab:blue\",\"tab:green\",\"tab:red\"]\n", + "simus = [ref_zos, ref_so, ref_thetao]\n", + "names = [\"zos\", \"so\", \"thetao\"]\n", + "colors = [\"tab:blue\", \"tab:green\", \"tab:red\"]\n", "fig, axes = plt.subplots(3, 3, figsize=(20, 10))\n", "\n", "for i, simu in enumerate(simus):\n", - " axes[0, i].plot(simu.pca.explained_variance_ratio_*100,\"ko\", markersize =4)\n", + " axes[0, i].plot(simu.pca.explained_variance_ratio_ * 100, \"ko\", markersize=4)\n", " axes[0, i].set_title(f\"Explained Variance Ratio - {names[i]}\")\n", "\n", " axes[1, i].plot(simu.components[:, 0], color=colors[i], alpha=0.9, label=\"1st comp\")\n", " axes[1, i].plot(simu.components[:, 1], color=colors[i], alpha=0.4, label=\"2nd comp\")\n", " axes[1, i].set_title(f\"Components - {names[i]}\")\n", " axes[1, i].legend()\n", - " \n", - " if simu.z_size is not None : \n", + "\n", + " if simu.z_size is not None:\n", " im = axes[2, i].pcolor(simu.getPC(0)[0])\n", - " plt.colorbar(im, ax=axes[2, i])#,label=units[i])\n", + " plt.colorbar(im, ax=axes[2, i]) # ,label=units[i])\n", " axes[2, i].set_title(f\"1st PC of the surface - {names[i]}\")\n", " else:\n", " im = axes[2, i].pcolor(simu.getPC(0))\n", - " plt.colorbar(im, ax=axes[2, i])#,label=units[i])\n", + " plt.colorbar(im, ax=axes[2, i]) # ,label=units[i])\n", " axes[2, i].set_title(f\"1st PC - {names[i]}\")\n", - " \n", + "\n", "fig.suptitle(\"PCA INFO\")\n", "plt.show()" ] @@ -1072,20 +1133,22 @@ } ], "source": [ - "comp = 0\n", - "ref = [ref_zos,ref_so,ref_thetao]\n", - "pred = [hat_zos,hat_so,hat_thetao]#[df_zos,df_so,df_thetao]\n", - "names = [\"zos\",\"so\",\"thetao\"]\n", - "colors = [\"tab:blue\",\"tab:green\",\"tab:red\"]\n", + "comp = 0\n", + "ref = [ref_zos, ref_so, ref_thetao]\n", + "pred = [hat_zos, hat_so, hat_thetao] # [df_zos,df_so,df_thetao]\n", + "names = [\"zos\", \"so\", \"thetao\"]\n", + "colors = [\"tab:blue\", \"tab:green\", \"tab:red\"]\n", "\n", - "fig, axes = plt.subplots(3,1,figsize=(10,8))\n", + "fig, axes = plt.subplots(3, 1, figsize=(10, 8))\n", "\n", "for i, simu in enumerate(ref):\n", - " axes[i].plot(simu.components[:, comp], color=\"grey\",linestyle=\"dashed\",label=\"ref\")\n", - " axes[i].plot(pred[i].iloc[:,comp], color=colors[i], alpha=0.9, label=names[i])\n", + " axes[i].plot(\n", + " simu.components[:, comp], color=\"grey\", linestyle=\"dashed\", label=\"ref\"\n", + " )\n", + " axes[i].plot(pred[i].iloc[:, comp], color=colors[i], alpha=0.9, label=names[i])\n", " axes[i].set_title(f\"Components - {names[i]}\")\n", " axes[i].legend()\n", - " \n", + "\n", "fig.suptitle(\"PCA INFO\")\n", "plt.show()" ] @@ -1108,16 +1171,18 @@ } ], "source": [ - "comp = 1\n", + "comp = 1\n", "\n", - "fig, axes = plt.subplots(3,1,figsize=(10,8))\n", + "fig, axes = plt.subplots(3, 1, figsize=(10, 8))\n", "\n", "for i, simu in enumerate(ref):\n", - " axes[i].plot(simu.components[:, comp], color=\"grey\",linestyle=\"dashed\",label=\"ref\")\n", - " axes[i].plot(pred[i].iloc[:,comp], color=colors[i], alpha=0.9, label=names[i])\n", + " axes[i].plot(\n", + " simu.components[:, comp], color=\"grey\", linestyle=\"dashed\", label=\"ref\"\n", + " )\n", + " axes[i].plot(pred[i].iloc[:, comp], color=colors[i], alpha=0.9, label=names[i])\n", " axes[i].set_title(f\"Components - {names[i]}\")\n", " axes[i].legend()\n", - " \n", + "\n", "fig.suptitle(\"PCA INFO\")\n", "plt.show()" ] @@ -1140,16 +1205,18 @@ } ], "source": [ - "comp = 2\n", + "comp = 2\n", "\n", - "fig, axes = plt.subplots(3,1,figsize=(10,8))\n", + "fig, axes = plt.subplots(3, 1, figsize=(10, 8))\n", "\n", "for i, simu in enumerate(ref):\n", - " axes[i].plot(simu.components[:, comp], color=\"grey\",linestyle=\"dashed\",label=\"ref\")\n", - " axes[i].plot(pred[i].iloc[:,comp], color=colors[i], alpha=0.9, label=names[i])\n", + " axes[i].plot(\n", + " simu.components[:, comp], color=\"grey\", linestyle=\"dashed\", label=\"ref\"\n", + " )\n", + " axes[i].plot(pred[i].iloc[:, comp], color=colors[i], alpha=0.9, label=names[i])\n", " axes[i].set_title(f\"Components - {names[i]}\")\n", " axes[i].legend()\n", - " \n", + "\n", "fig.suptitle(\"PCA INFO\")\n", "plt.show()" ] diff --git a/Notebooks/Restart.ipynb b/Notebooks/Restart.ipynb index 61b9fd7..dbc8ca1 100644 --- a/Notebooks/Restart.ipynb +++ b/Notebooks/Restart.ipynb @@ -2,7 +2,7 @@ "cells": [ { "cell_type": "code", - "execution_count": 139, + "execution_count": 1, "id": "b7cde80b-3b01-42d6-9267-b61603c7bcd6", "metadata": {}, "outputs": [], @@ -10,7 +10,8 @@ "import numpy as np\n", "import xarray as xr\n", "import sys\n", - "sys.path.insert(0,\"/home/mtissot/SpinUp/jumper/lib\")\n", + "\n", + "sys.path.insert(0, \"/home/mtissot/SpinUp/jumper/lib\")\n", "import matplotlib.pyplot as plt" ] }, @@ -24,34 +25,30 @@ }, { "cell_type": "code", - "execution_count": 127, + "execution_count": null, "id": "7f5fa984-0bb5-4df8-8f1c-e10539f74e12", "metadata": {}, "outputs": [], "source": [ - "dataset1 = xr.open_dataset('/data/mtissot/infos4restart/data_restart/OCE_CM65v420-LR-CdL-pi-01_19141231_restart.nc',decode_times=False) \n", - "mask = xr.open_dataset('/data/mtissot/infos4restart/eORCA1.4.2_mesh_mask_modJD.nc',decode_times=False) \n", - "dataset2 = xr.open_dataset('/data/mtissot/infos4restart/data_restart/NEW_OCE_CM65v420-LR-CdL-pi-01_19141231_restart.nc',decode_times=False) " + "dataset1 = xr.open_dataset(\n", + " \"/data/mtissot/infos4restart/data_restart/OCE_CM65v420-LR-CdL-pi-01_19141231_restart.nc\",\n", + " decode_times=False,\n", + ")\n", + "mask = xr.open_dataset(\n", + " \"/data/mtissot/infos4restart/eORCA1.4.2_mesh_mask_modJD.nc\", decode_times=False\n", + ")\n", + "dataset2 = xr.open_dataset(\n", + " \"/data/mtissot/infos4restart/data_restart/NEW_OCE_CM65v420-LR-CdL-pi-01_19141231_restart.nc\",\n", + " decode_times=False,\n", + ")" ] }, { "cell_type": "code", - "execution_count": 128, + "execution_count": null, "id": "642bc6a4-c706-4cf0-9021-72b719038d0e", "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "restart features : \n", - " ['adatrj', 'avm_k', 'avt_k', 'dissl', 'e3t_ini', 'e3t_m', 'emp_b', 'en', 'fraqsr_1lev', 'frc_s', 'frc_t', 'frc_v', 'frq_m', 'fwfisf_par_b', 'hc_loc_ini', 'isf_hc_par_b', 'isf_sc_par_b', 'kt', 'ndastp', 'nn_fsbc', 'ntime', 'qns_b', 'qsr_hc_b', 'rdt', 'rhop', 'rnf_b', 'rnf_hc_b', 'rnf_sc_b', 'sb', 'sbc_hc_b', 'sbc_sc_b', 'sc_loc_ini', 'sfx_b', 'sn', 'ssh_ini', 'ssh_m', 'sshb', 'sshn', 'sss_m', 'sst_m', 'ssu_m', 'ssv_m', 'surf_ini', 'tb', 'tmask_ini', 'tn', 'ub', 'ub2_b', 'un', 'un_bf', 'utau_b', 'vb', 'vb2_b', 'vn', 'vn_bf', 'vtau_b', 'xx', 'yy']\n", - "\n", - "mask features : \n", - " ['e1f', 'e1t', 'e1u', 'e1v', 'e2f', 'e2t', 'e2u', 'e2v', 'e3f_0', 'e3t_0', 'e3t_1d', 'e3u_0', 'e3uw_0', 'e3v_0', 'e3vw_0', 'e3w_0', 'e3w_1d', 'ff_f', 'ff_t', 'fmask', 'gdept_0', 'gdept_1d', 'gdepw_0', 'gdepw_1d', 'glamf', 'glamt', 'glamu', 'glamv', 'gphif', 'gphit', 'gphiu', 'gphiv', 'mbathy', 'misf', 'nav_lev', 'time_counter', 'tmask', 'tmaskutil', 'umask', 'umaskutil', 'vmask', 'vmaskutil', 'gridx', 'gridy']\n" - ] - } - ], + "outputs": [], "source": [ "print(\"restart features : \\n\", list(dataset2.keys()))\n", "print(\"\\nmask features : \\n\", list(mask.keys()))" @@ -70,7 +67,7 @@ "id": "8bdd0df6-8ce7-4b6b-be26-0354c08a415f", "metadata": {}, "source": [ - "rhop,u,v,e3t,ssh,T,S," + "rhop,u,v,e3t,ssh,T,S." ] }, { @@ -83,7 +80,7 @@ }, { "cell_type": "code", - "execution_count": 206, + "execution_count": null, "id": "dc4dd751-7740-4f6c-aaae-b44fe3c6b8b9", "metadata": {}, "outputs": [], @@ -91,86 +88,58 @@ "new = dataset2.rhop.where(mask.tmask.values)\n", "old = dataset1.rhop.where(mask.tmask.values)\n", "\n", - "diff_new = np.diff(new.isel(time_counter=0), axis=0) \n", - "diff_old = np.diff(old.isel(time_counter=0), axis=0) \n", + "diff_new = np.diff(new.isel(time_counter=0), axis=0)\n", + "diff_old = np.diff(old.isel(time_counter=0), axis=0)\n", "\n", - "val = [old[0],new[0]]\n", - "diff = [diff_old,diff_new]" + "val = [old[0], new[0]]\n", + "diff = [diff_old, diff_new]" ] }, { "cell_type": "code", - "execution_count": 156, + "execution_count": null, "id": "063a406b-f1fc-44d7-bf3a-45c63ca27d1a", "metadata": {}, - "outputs": [ - { - "name": "stderr", - "output_type": "stream", - "text": [ - "/tmp/ipykernel_1826838/2392123758.py:4: RuntimeWarning: Mean of empty slice\n", - " ax.plot(np.nanmean(val[0],axis=(1,2)),dataset1.nav_lev,linestyle=\"dashed\",color=\"black\",alpha=0.7,linewidth=3,label=\"truth\")\n", - "/tmp/ipykernel_1826838/2392123758.py:5: RuntimeWarning: Mean of empty slice\n", - " ax.plot(np.nanmean(val[1],axis=(1,2)),dataset2.nav_lev,color=\"purple\",alpha=0.8,linewidth=2,label=\"predictions\")\n" - ] - }, - { - "data": { - "image/png": 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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], + "outputs": [], "source": [ "fig = plt.figure(figsize=(4, 5))\n", "ax = plt.gca()\n", "\n", - "ax.plot(np.nanmean(val[0],axis=()1,2),dataset1.nav_lev,linestyle=\"dashed\",color=\"black\",alpha=0.7,linewidth=3,label=\"truth\")\n", - "ax.plot(np.nanmean(val[1],axis=(1,2)),dataset2.nav_lev,color=\"purple\",alpha=0.8,linewidth=2,label=\"predictions\")\n", + "ax.plot(\n", + " np.nanmean(val[0], axis=(1, 2)),\n", + " dataset1.nav_lev,\n", + " linestyle=\"dashed\",\n", + " color=\"black\",\n", + " alpha=0.7,\n", + " linewidth=3,\n", + " label=\"truth\",\n", + ")\n", + "ax.plot(\n", + " np.nanmean(val[1], axis=(1, 2)),\n", + " dataset2.nav_lev,\n", + " color=\"purple\",\n", + " alpha=0.8,\n", + " linewidth=2,\n", + " label=\"predictions\",\n", + ")\n", "ax.invert_yaxis()\n", "ax.invert_xaxis()\n", "\n", - "#ax.set_xlim(left=1)\n", + "# ax.set_xlim(left=1)\n", "\n", - "ax.yaxis.set_label_position('right')\n", + "ax.yaxis.set_label_position(\"right\")\n", "ax.yaxis.tick_right()\n", "ax.legend()\n", - "ax.set_title('Average\n", - "')\n", + "ax.set_title(\"Average\")\n", "plt.show()" ] }, { "cell_type": "code", - "execution_count": 208, + "execution_count": null, "id": "2b2b5ca2-7ba7-4409-bfd8-9da396e7a59b", "metadata": {}, - "outputs": [ - { - "name": "stderr", - "output_type": "stream", - "text": [ - "/tmp/ipykernel_1826838/3771032732.py:8: RuntimeWarning: Mean of empty slice\n", - " ax.plot(np.nanmean(diff[0], axis=(1, 2)), dataset1.nav_lev[:-1], linestyle=\"dashed\", color=\"black\", alpha=0.7, linewidth=3, label=\"truth\")\n", - "/tmp/ipykernel_1826838/3771032732.py:9: RuntimeWarning: Mean of empty slice\n", - " ax.plot(np.nanmean(diff[1], axis=(1, 2)), dataset2.nav_lev[:-1], color=\"purple\", alpha=0.8, linewidth=2, label=\"predictions\")\n" - ] - }, - { - "data": { - "image/png": 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", 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" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], + "outputs": [], "source": [ "import matplotlib.pyplot as plt\n", "import numpy as np\n", @@ -179,8 +148,23 @@ "\n", "\n", "ax = axes[0]\n", - "ax.plot(np.nanmean(diff[0], axis=(1, 2)), dataset1.nav_lev[:-1], linestyle=\"dashed\", color=\"black\", alpha=0.7, linewidth=3, label=\"truth\")\n", - "ax.plot(np.nanmean(diff[1], axis=(1, 2)), dataset2.nav_lev[:-1], color=\"purple\", alpha=0.8, linewidth=2, label=\"predictions\")\n", + "ax.plot(\n", + " np.nanmean(diff[0], axis=(1, 2)),\n", + " dataset1.nav_lev[:-1],\n", + " linestyle=\"dashed\",\n", + " color=\"black\",\n", + " alpha=0.7,\n", + " linewidth=3,\n", + " label=\"truth\",\n", + ")\n", + "ax.plot(\n", + " np.nanmean(diff[1], axis=(1, 2)),\n", + " dataset2.nav_lev[:-1],\n", + " color=\"purple\",\n", + " alpha=0.8,\n", + " linewidth=2,\n", + " label=\"predictions\",\n", + ")\n", "ax.invert_yaxis()\n", "ax.invert_xaxis()\n", "ax.yaxis.tick_right()\n", @@ -209,7 +193,7 @@ "ax.yaxis.tick_right()\n", "\n", "plt.tight_layout()\n", - "plt.show()\n" + "plt.show()" ] }, { @@ -222,7 +206,7 @@ }, { "cell_type": "code", - "execution_count": 130, + "execution_count": null, "id": "7b9e842c-f1de-4ff8-bc12-d6ef2748bd6e", "metadata": {}, "outputs": [], @@ -230,52 +214,46 @@ "new = dataset2.un.where(mask.umask.values)\n", "old = dataset1.un.where(mask.umask.values)\n", "\n", - "diff_new = np.diff(new.isel(time_counter=0), axis=0) \n", - "diff_old = np.diff(old.isel(time_counter=0), axis=0) \n", + "diff_new = np.diff(new.isel(time_counter=0), axis=0)\n", + "diff_old = np.diff(old.isel(time_counter=0), axis=0)\n", "\n", - "val = [old[0],new[0]]\n", - "diff = [diff_old,diff_new]" + "val = [old[0], new[0]]\n", + "diff = [diff_old, diff_new]" ] }, { "cell_type": "code", - "execution_count": 131, + "execution_count": null, "id": "8ef08ac1-26ea-4211-9e54-754b9ab198a4", "metadata": {}, - "outputs": [ - { - "name": "stderr", - "output_type": "stream", - "text": [ - "/tmp/ipykernel_1826838/909273091.py:4: RuntimeWarning: Mean of empty slice\n", - " ax.plot(np.nanmean(val[0],axis=(1,2)),dataset1.nav_lev,linestyle=\"dashed\",color=\"black\",alpha=0.7,linewidth=3,label=\"truth\")\n", - "/tmp/ipykernel_1826838/909273091.py:5: RuntimeWarning: Mean of empty slice\n", - " ax.plot(np.nanmean(val[1],axis=(1,2)),dataset2.nav_lev,color=\"purple\",alpha=0.8,linewidth=2,label=\"predictions\")\n" - ] - }, - { - "data": { - "image/png": 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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], + "outputs": [], "source": [ "fig = plt.figure(figsize=(4, 5))\n", "ax = plt.gca()\n", "\n", - "ax.plot(np.nanmean(val[0],axis=(1,2)),dataset1.nav_lev,linestyle=\"dashed\",color=\"black\",alpha=0.7,linewidth=3,label=\"truth\")\n", - "ax.plot(np.nanmean(val[1],axis=(1,2)),dataset2.nav_lev,color=\"purple\",alpha=0.8,linewidth=2,label=\"predictions\")\n", + "ax.plot(\n", + " np.nanmean(val[0], axis=(1, 2)),\n", + " dataset1.nav_lev,\n", + " linestyle=\"dashed\",\n", + " color=\"black\",\n", + " alpha=0.7,\n", + " linewidth=3,\n", + " label=\"truth\",\n", + ")\n", + "ax.plot(\n", + " np.nanmean(val[1], axis=(1, 2)),\n", + " dataset2.nav_lev,\n", + " color=\"purple\",\n", + " alpha=0.8,\n", + " linewidth=2,\n", + " label=\"predictions\",\n", + ")\n", "ax.invert_yaxis()\n", "ax.invert_xaxis()\n", "\n", - "#ax.set_xlim(left=1)\n", + "# ax.set_xlim(left=1)\n", "\n", - "ax.yaxis.set_label_position('right')\n", + "ax.yaxis.set_label_position(\"right\")\n", "ax.yaxis.tick_right()\n", "ax.legend()\n", "plt.show()" @@ -283,44 +261,38 @@ }, { "cell_type": "code", - "execution_count": 132, + "execution_count": null, "id": "4d08052a-4fde-4b3a-a859-58afd6d56839", "metadata": {}, - "outputs": [ - { - "name": "stderr", - "output_type": "stream", - "text": [ - "/tmp/ipykernel_1826838/647516894.py:5: RuntimeWarning: Mean of empty slice\n", - " ax.plot(np.nanmean(diff[0],axis=(1,2)),dataset1.nav_lev[:-1],linestyle=\"dashed\",color=\"black\",alpha=0.7,linewidth=3,label=\"truth\")\n", - "/tmp/ipykernel_1826838/647516894.py:6: RuntimeWarning: Mean of empty slice\n", - " ax.plot(np.nanmean(diff[1],axis=(1,2)),dataset2.nav_lev[:-1],color=\"purple\",alpha=0.8,linewidth=2,label=\"predictions\")\n" - ] - }, - { - "data": { - "image/png": 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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], + "outputs": [], "source": [ "fig = plt.figure(figsize=(4, 5))\n", "ax = plt.gca()\n", "\n", - "#l = len(rhop_new[:,j,i])\n", - "ax.plot(np.nanmean(diff[0],axis=(1,2)),dataset1.nav_lev[:-1],linestyle=\"dashed\",color=\"black\",alpha=0.7,linewidth=3,label=\"truth\")\n", - "ax.plot(np.nanmean(diff[1],axis=(1,2)),dataset2.nav_lev[:-1],color=\"purple\",alpha=0.8,linewidth=2,label=\"predictions\")\n", + "# l = len(rhop_new[:,j,i])\n", + "ax.plot(\n", + " np.nanmean(diff[0], axis=(1, 2)),\n", + " dataset1.nav_lev[:-1],\n", + " linestyle=\"dashed\",\n", + " color=\"black\",\n", + " alpha=0.7,\n", + " linewidth=3,\n", + " label=\"truth\",\n", + ")\n", + "ax.plot(\n", + " np.nanmean(diff[1], axis=(1, 2)),\n", + " dataset2.nav_lev[:-1],\n", + " color=\"purple\",\n", + " alpha=0.8,\n", + " linewidth=2,\n", + " label=\"predictions\",\n", + ")\n", "ax.invert_yaxis()\n", "ax.invert_xaxis()\n", "\n", - "#ax.set_xlim(left=1)\n", + "# ax.set_xlim(left=1)\n", "\n", - "ax.yaxis.set_label_position('right')\n", + "ax.yaxis.set_label_position(\"right\")\n", "ax.yaxis.tick_right()\n", "ax.legend()\n", "plt.show()" @@ -336,7 +308,7 @@ }, { "cell_type": "code", - "execution_count": 133, + "execution_count": null, "id": "bc767e27", "metadata": {}, "outputs": [], @@ -344,52 +316,46 @@ "new = dataset2.vn.where(mask.vmask.values)\n", "old = dataset1.vn.where(mask.vmask.values)\n", "\n", - "diff_new = np.diff(new.isel(time_counter=0), axis=0) \n", - "diff_old = np.diff(old.isel(time_counter=0), axis=0) \n", + "diff_new = np.diff(new.isel(time_counter=0), axis=0)\n", + "diff_old = np.diff(old.isel(time_counter=0), axis=0)\n", "\n", - "val = [old[0],new[0]]\n", - "diff = [diff_old,diff_new]" + "val = [old[0], new[0]]\n", + "diff = [diff_old, diff_new]" ] }, { "cell_type": "code", - "execution_count": 134, + "execution_count": null, "id": "fa946b44-fed9-492f-ad37-447e16ff7c94", "metadata": {}, - "outputs": [ - { - "name": "stderr", - "output_type": "stream", - "text": [ - "/tmp/ipykernel_1826838/909273091.py:4: RuntimeWarning: Mean of empty slice\n", - " ax.plot(np.nanmean(val[0],axis=(1,2)),dataset1.nav_lev,linestyle=\"dashed\",color=\"black\",alpha=0.7,linewidth=3,label=\"truth\")\n", - "/tmp/ipykernel_1826838/909273091.py:5: RuntimeWarning: Mean of empty slice\n", - " ax.plot(np.nanmean(val[1],axis=(1,2)),dataset2.nav_lev,color=\"purple\",alpha=0.8,linewidth=2,label=\"predictions\")\n" - ] - }, - { - "data": { - "image/png": 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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], + "outputs": [], "source": [ "fig = plt.figure(figsize=(4, 5))\n", "ax = plt.gca()\n", "\n", - "ax.plot(np.nanmean(val[0],axis=(1,2)),dataset1.nav_lev,linestyle=\"dashed\",color=\"black\",alpha=0.7,linewidth=3,label=\"truth\")\n", - "ax.plot(np.nanmean(val[1],axis=(1,2)),dataset2.nav_lev,color=\"purple\",alpha=0.8,linewidth=2,label=\"predictions\")\n", + "ax.plot(\n", + " np.nanmean(val[0], axis=(1, 2)),\n", + " dataset1.nav_lev,\n", + " linestyle=\"dashed\",\n", + " color=\"black\",\n", + " alpha=0.7,\n", + " linewidth=3,\n", + " label=\"truth\",\n", + ")\n", + "ax.plot(\n", + " np.nanmean(val[1], axis=(1, 2)),\n", + " dataset2.nav_lev,\n", + " color=\"purple\",\n", + " alpha=0.8,\n", + " linewidth=2,\n", + " label=\"predictions\",\n", + ")\n", "ax.invert_yaxis()\n", "ax.invert_xaxis()\n", "\n", - "#ax.set_xlim(left=1)\n", + "# ax.set_xlim(left=1)\n", "\n", - "ax.yaxis.set_label_position('right')\n", + "ax.yaxis.set_label_position(\"right\")\n", "ax.yaxis.tick_right()\n", "ax.legend()\n", "plt.show()" @@ -397,44 +363,38 @@ }, { "cell_type": "code", - "execution_count": 135, + "execution_count": null, "id": "66f6bfcf", "metadata": {}, - "outputs": [ - { - "name": "stderr", - "output_type": "stream", - "text": [ - "/tmp/ipykernel_1826838/647516894.py:5: RuntimeWarning: Mean of empty slice\n", - " ax.plot(np.nanmean(diff[0],axis=(1,2)),dataset1.nav_lev[:-1],linestyle=\"dashed\",color=\"black\",alpha=0.7,linewidth=3,label=\"truth\")\n", - "/tmp/ipykernel_1826838/647516894.py:6: RuntimeWarning: Mean of empty slice\n", - " ax.plot(np.nanmean(diff[1],axis=(1,2)),dataset2.nav_lev[:-1],color=\"purple\",alpha=0.8,linewidth=2,label=\"predictions\")\n" - ] - }, - { - "data": { - "image/png": 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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], + "outputs": [], "source": [ "fig = plt.figure(figsize=(4, 5))\n", "ax = plt.gca()\n", "\n", - "#l = len(rhop_new[:,j,i])\n", - "ax.plot(np.nanmean(diff[0],axis=(1,2)),dataset1.nav_lev[:-1],linestyle=\"dashed\",color=\"black\",alpha=0.7,linewidth=3,label=\"truth\")\n", - "ax.plot(np.nanmean(diff[1],axis=(1,2)),dataset2.nav_lev[:-1],color=\"purple\",alpha=0.8,linewidth=2,label=\"predictions\")\n", + "# l = len(rhop_new[:,j,i])\n", + "ax.plot(\n", + " np.nanmean(diff[0], axis=(1, 2)),\n", + " dataset1.nav_lev[:-1],\n", + " linestyle=\"dashed\",\n", + " color=\"black\",\n", + " alpha=0.7,\n", + " linewidth=3,\n", + " label=\"truth\",\n", + ")\n", + "ax.plot(\n", + " np.nanmean(diff[1], axis=(1, 2)),\n", + " dataset2.nav_lev[:-1],\n", + " color=\"purple\",\n", + " alpha=0.8,\n", + " linewidth=2,\n", + " label=\"predictions\",\n", + ")\n", "ax.invert_yaxis()\n", "ax.invert_xaxis()\n", "\n", - "#ax.set_xlim(left=1)\n", + "# ax.set_xlim(left=1)\n", "\n", - "ax.yaxis.set_label_position('right')\n", + "ax.yaxis.set_label_position(\"right\")\n", "ax.yaxis.tick_right()\n", "ax.legend()\n", "plt.show()" @@ -465,7 +425,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.9.18" + "version": "3.9.12" } }, "nbformat": 4, diff --git a/main_forecast.py b/main_forecast.py index 56f74ba..090fb24 100644 --- a/main_forecast.py +++ b/main_forecast.py @@ -2,64 +2,90 @@ import pandas as pd import os import pickle -import sys -import random +import sys +import random import argparse -sys.path.insert(0,"../lib/") + +sys.path.insert(0, "../lib/") from forecast import Predictions, Simulation, load_ts -file_simu_prepared = "/data/mtissot/spinup_data/simus_prepared" +file_simu_prepared = "/data/mtissot/spinup_data/simus_prepared" file_simu_predicted = "/data/mtissot/spinup_data/simus_predicted" -def prepare(term,simu_path, start, end, ye, comp): - simu = Simulation(path=simu_path,start=start,end=end,ye=ye,comp=comp,term=term) #Load yearly or monthly simulations - print(f"{term} loaded") - simu.prepare() #Prepare simulations : start to end - removeClosedSeas - (removeSSCA) - standardize - to numpy - print(f"{term} prepared") - simu.applyPCA() #Exctract time series through PCA +def prepare(term, simu_path, start, end, ye, comp): + simu = Simulation( + path=simu_path, start=start, end=end, ye=ye, comp=comp, term=term + ) # Load yearly or monthly simulations + print(f"{term} loaded") + simu.prepare() # Prepare simulations : start to end - removeClosedSeas - (removeSSCA) - standardize - to numpy + print(f"{term} prepared") + simu.applyPCA() # Exctract time series through PCA print(f"PCA applied on {term}") - simu.save(file_simu_prepared,term) #Create dico and save: time series - mask - desc -(ssca) - cut(=start) - x_size - y_size - (z_size) - shape + simu.save( + file_simu_prepared, term + ) # Create dico and save: time series - mask - desc -(ssca) - cut(=start) - x_size - y_size - (z_size) - shape print(f"{term} saved at {file_simu_prepared}/{term}") - del simu #Clean RAM + del simu # Clean RAM + -def jump(term,steps): - df,infos = load_ts(f"{file_simu_prepared}/{term}",term) #load dataframe and infos - simu_ts = Predictions(term,df,infos) #create the class to predict - print(f"{term} time series loaded") - y_hat, y_hat_std, metrics = simu_ts.Forecast(len(simu_ts),steps) #Forecast - print(f"{term} time series forcasted") - n = len(simu_ts.info["pca"].components_) #Reconstruct n predicted components - predictions_zos = simu_ts.reconstruct(y_hat,n,begin=len(simu_ts)) - print(f"{term} predictions reconstructed") - np.save(f"{file_simu_predicted}/{term}.npy", predictions_zos) #Save - print(f"{term} predictions saved at {file_simu_predicted}") +def jump(term, steps): + df, infos = load_ts( + f"{file_simu_prepared}/{term}", term + ) # load dataframe and infos + simu_ts = Predictions(term, df, infos) # create the class to predict + print(f"{term} time series loaded") + y_hat, y_hat_std, metrics = simu_ts.Forecast(len(simu_ts), steps) # Forecast + print(f"{term} time series forcasted") + n = len(simu_ts.info["pca"].components_) # Reconstruct n predicted components + predictions_zos = simu_ts.reconstruct(y_hat, n, begin=len(simu_ts)) + print(f"{term} predictions reconstructed") + np.save(f"{file_simu_predicted}/{term}.npy", predictions_zos) # Save + print(f"{term} predictions saved at {file_simu_predicted}") del simu_ts -def emulate(simu_path,steps,ye,start,end,comp): - for term in ["zos","so","thetao"]: + +def emulate(simu_path, steps, ye, start, end, comp): + for term in ["zos", "so", "thetao"]: print(f"Preparing {term}...") - prepare(term,simu_path, ye, start, end, comp) + prepare(term, simu_path, ye, start, end, comp) print() print(f"Forecasting {term}...") - jump(term,steps) + jump(term, steps) print() -if __name__ == '__main__': - #simu_path = "/scratchu/mtissot/SIMUp6Y" +if __name__ == "__main__": + # simu_path = "/scratchu/mtissot/SIMUp6Y" parser = argparse.ArgumentParser(description="Emulator") - parser.add_argument("--path", type=str, help= "Enter the simulation pathn") #Path - parser.add_argument("--ye", type=bool, help= "Transform monthly simulation to yearly simulation") #Transform monthly simulation to yearly simulation - parser.add_argument("--start", type=int, help = "Start of the training") #Start of the simu : 0 to keep spin up / t to cut the spin up - parser.add_argument("--end", type=int, help = "End of the training") #End of the simu (end-strat = train len) - parser.add_argument("--steps", type=int, help = "Number of steps to emulate") #Number of years you want to forecast - parser.add_argument("--comp", type=float, help="Explained variance ratio for the pca") #Explained variance ratio for the pca + parser.add_argument("--path", type=str, help="Enter the simulation pathn") # Path + parser.add_argument( + "--ye", type=bool, help="Transform monthly simulation to yearly simulation" + ) # Transform monthly simulation to yearly simulation + parser.add_argument( + "--start", type=int, help="Start of the training" + ) # Start of the simu : 0 to keep spin up / t to cut the spin up + parser.add_argument( + "--end", type=int, help="End of the training" + ) # End of the simu (end-strat = train len) + parser.add_argument( + "--steps", type=int, help="Number of steps to emulate" + ) # Number of years you want to forecast + parser.add_argument( + "--comp", type=float, help="Explained variance ratio for the pca" + ) # Explained variance ratio for the pca args = parser.parse_args() - emulate(simu_path=args.path,steps=args.steps,ye=args.ye,start=args.start,end=args.end,comp=args.comp) + emulate( + simu_path=args.path, + steps=args.steps, + ye=args.ye, + start=args.start, + end=args.end, + comp=args.comp, + ) + + # update_restart_files - #update_restart_files - - #python SpinUp/jumper/main/main_forecast.py --ye True --start 25 --end 65 --comp 0.9 --steps 30 --path /scratchu/mtissot/SIMUp6Y + # python SpinUp/jumper/main/main_forecast.py --ye True --start 25 --end 65 --comp 0.9 --steps 30 --path /scratchu/mtissot/SIMUp6Y diff --git a/main_restart.py b/main_restart.py index bb2b224..707b705 100644 --- a/main_restart.py +++ b/main_restart.py @@ -3,15 +3,17 @@ import matplotlib.pyplot as plt import os import pickle -import sys -import random +import sys +import random import argparse -sys.path.insert(0,"/home/mtissot/Spinup-NEMO/lib") + +sys.path.insert(0, "/home/mtissot/Spinup-NEMO/lib") from lib.restart import * import xarray as xr -def update_restart_slice(restart_file,restart_name,mask_file): -#restart file "/thredds/idris/work/ues27zx/Restarts/" mask file '/thredds/idris/work/ues27zx/eORCA1.4.2_mesh_mask_modJD.nc' + +def update_restart_slice(restart_file, restart_name, mask_file): + # restart file "/thredds/idris/work/ues27zx/Restarts/" mask file '/thredds/idris/work/ues27zx/eORCA1.4.2_mesh_mask_modJD.nc' """ Update a restart file with new predictions and related variables. @@ -23,21 +25,35 @@ def update_restart_slice(restart_file,restart_name,mask_file): Returns: None """ - restart_array = xr.open_dataset(restart_file+restart_name,decode_times=False) #load restart file - mask_array = xr.open_dataset(mask_file,decode_times=False) #load mask file - zos_new,so_new,thetao_new = restart.load_predictions() #load ssh, so and thetao predictions - restart.update_pred(restart_array,zos_new,so_new,thetao_new) #update restart with ssh, so and thetao predictions - e3t_new = restart.update_e3tm(restart_array,mask_array) #update e3tm and gete e3t - deptht_new = restart.get_deptht(restart_array,mask_array) #get new deptht for density - restart.update_rhop(restart_array,mask_array,deptht_new) #update density - restart.update_v_velocity(restart_array,mask_array,e3t_new[0]) #update meridional velocity - restart.update_u_velocity(restart_array,mask_array,e3t_new[0]) #update zonal velocity - array = array.rename_vars({'xx': 'x','yy':'y'}) #inverse transformation of x and y vars - #Restart.to_netcdf(restart_file+restart_name) # save file - - -#PAs EU LE TEMPS D'ESSAYER -def update_Restarts(restarts_file,mask_file,jobs=10) : + restart_array = xr.open_dataset( + restart_file + restart_name, decode_times=False + ) # load restart file + mask_array = xr.open_dataset(mask_file, decode_times=False) # load mask file + zos_new, so_new, thetao_new = ( + restart.load_predictions() + ) # load ssh, so and thetao predictions + restart.update_pred( + restart_array, zos_new, so_new, thetao_new + ) # update restart with ssh, so and thetao predictions + e3t_new = restart.update_e3tm(restart_array, mask_array) # update e3tm and gete e3t + deptht_new = restart.get_deptht( + restart_array, mask_array + ) # get new deptht for density + restart.update_rhop(restart_array, mask_array, deptht_new) # update density + restart.update_v_velocity( + restart_array, mask_array, e3t_new[0] + ) # update meridional velocity + restart.update_u_velocity( + restart_array, mask_array, e3t_new[0] + ) # update zonal velocity + array = array.rename_vars( + {"xx": "x", "yy": "y"} + ) # inverse transformation of x and y vars + # Restart.to_netcdf(restart_file+restart_name) # save file + + +# PAs EU LE TEMPS D'ESSAYER +def update_Restarts(restarts_file, mask_file, jobs=10): """ Update multiple restart files in parallel. @@ -49,29 +65,36 @@ def update_Restarts(restarts_file,mask_file,jobs=10) : Returns: None """ - restart_names = restart.getRestartFiles(restarts_file) # SUPER LONG PEUT ETRE LE FAIR EN BASH OU ERREUR - Parallel(jobs)(delayed(update_restart_slice)(restarts_file,file,mask_file) for file in restart_names) - - + restart_names = restart.getRestartFiles( + restarts_file + ) # SUPER LONG PEUT ETRE LE FAIR EN BASH OU ERREUR + Parallel(jobs)( + delayed(update_restart_slice)(restarts_file, file, mask_file) + for file in restart_names + ) -if __name__ == '__main__': - +if __name__ == "__main__": parser = argparse.ArgumentParser(description="Update of restart files") - parser.add_argument("--restart_path", type=str, help= "path of restart file directory") - parser.add_argument("--radical", type=str, help= "radical of restart filename") - parser.add_argument("--mask_file", type=str, help= "adress of mask file") - parser.add_argument("--prediction_path", type=str, help= "path of prediction directory") + parser.add_argument( + "--restart_path", type=str, help="path of restart file directory" + ) + parser.add_argument("--radical", type=str, help="radical of restart filename") + parser.add_argument("--mask_file", type=str, help="adress of mask file") + parser.add_argument( + "--prediction_path", type=str, help="path of prediction directory" + ) args = parser.parse_args() - restart=xr.open_dataset(getRestartFiles(args.restart_path,args.radical),decode_times=False) - mask=getMaskFile(args.mask_file,restart) - restart=load_predictions(restart,dirpath=args.prediction_path) - restart=propagate_pred(restart,mask) - recordFullRestart(args.restart_path,args.radical,restart) - recordPiecedRestart(args.restart_path,args.radical,restart) + restart = xr.open_dataset( + getRestartFiles(args.restart_path, args.radical), decode_times=False + ) + mask = getMaskFile(args.mask_file, restart) + restart = load_predictions(restart, dirpath=args.prediction_path) + restart = propagate_pred(restart, mask) + recordFullRestart(args.restart_path, args.radical, restart) + recordPiecedRestart(args.restart_path, args.radical, restart) - print("""All done. Now you just need to : - Back transform the coordinates of the pieced restart files using ncks to the original version (see bash script xarray_to_CMIP.sh) - Rename/Overwrite the "NEW_" restart files to their old version if you’re happy with them (see other bash script rewrite.sh) @@ -79,10 +102,8 @@ def update_Restarts(restarts_file,mask_file,jobs=10) : You might need to reorganize them in a ./OCE/Restart/CM....nc structure instead of ./OCE_CM...nc (there’s the rename.sh bash script for that) but normally it should work without. You can see the example script Jumper.sh for how to do most of that. See you soon. :) """) + # update_Restarts(restarts_file=args.restarts_file,mask_file=args.mask_file) - - #update_Restarts(restarts_file=args.restarts_file,mask_file=args.mask_file) + # update_restart_files - #update_restart_files - - #python SpinUp/jumper/main/main_restart.py --restart_files '/thredds/idris/work/ues27zx/eORCA1.4.2_mesh_mask_modJD.nc' --mask_file '/thredds/idris/work/ues27zx/eORCA1.4.2_mesh_mask_modJD.nc' + # python SpinUp/jumper/main/main_restart.py --restart_files '/thredds/idris/work/ues27zx/eORCA1.4.2_mesh_mask_modJD.nc' --mask_file '/thredds/idris/work/ues27zx/eORCA1.4.2_mesh_mask_modJD.nc' diff --git a/standalone/restarter.py b/standalone/restarter.py index b4ac3c0..d27b37d 100644 --- a/standalone/restarter.py +++ b/standalone/restarter.py @@ -1,10 +1,8 @@ - -#$1 : Radical +# $1 : Radical # # - import numpy as np import xarray as xr import matplotlib.pyplot as plt @@ -20,20 +18,19 @@ def getXYslice(array): Parameters: array (xarray.DataArray) : Restart file - + Returns x_string (slice dtype=float) : range of x positions y_string (slice dtype=float) : range of y positions """ - First = array.DOMAIN_position_first - Last = array.DOMAIN_position_last - x_slice = slice(First[0]-1,Last[0]) - y_slice = slice(First[1]-1,Last[1]) + First = array.DOMAIN_position_first + Last = array.DOMAIN_position_last + x_slice = slice(First[0] - 1, Last[0]) + y_slice = slice(First[1] - 1, Last[1]) return x_slice, y_slice - -def density(thetao,so,depth,tmask): +def density(thetao, so, depth, tmask): """ Compute potential density referenced at the surface and in-situ density. C : Add source for the formula ? @@ -50,45 +47,45 @@ def density(thetao,so,depth,tmask): array: In Situ Density. """ rdeltaS = 32.0 - r1_S0 = 0.875/35.16504 - r1_T0 = 1./40. - r1_Z0 = 1.e-4 + r1_S0 = 0.875 / 35.16504 + r1_T0 = 1.0 / 40.0 + r1_Z0 = 1.0e-4 # C : What are thode values ? - EOS000 = 8.0189615746e+02 - EOS100 = 8.6672408165e+02 - EOS200 = -1.7864682637e+03 - EOS300 = 2.0375295546e+03 - EOS400 = -1.2849161071e+03 - EOS500 = 4.3227585684e+02 - EOS600 = -6.0579916612e+01 - EOS010 = 2.6010145068e+01 - EOS110 = -6.5281885265e+01 - EOS210 = 8.1770425108e+01 - EOS310 = -5.6888046321e+01 - EOS410 = 1.7681814114e+01 + EOS000 = 8.0189615746e02 + EOS100 = 8.6672408165e02 + EOS200 = -1.7864682637e03 + EOS300 = 2.0375295546e03 + EOS400 = -1.2849161071e03 + EOS500 = 4.3227585684e02 + EOS600 = -6.0579916612e01 + EOS010 = 2.6010145068e01 + EOS110 = -6.5281885265e01 + EOS210 = 8.1770425108e01 + EOS310 = -5.6888046321e01 + EOS410 = 1.7681814114e01 EOS510 = -1.9193502195 - EOS020 = -3.7074170417e+01 - EOS120 = 6.1548258127e+01 - EOS220 = -6.0362551501e+01 - EOS320 = 2.9130021253e+01 + EOS020 = -3.7074170417e01 + EOS120 = 6.1548258127e01 + EOS220 = -6.0362551501e01 + EOS320 = 2.9130021253e01 EOS420 = -5.4723692739 - EOS030 = 2.1661789529e+01 - EOS130 = -3.3449108469e+01 - EOS230 = 1.9717078466e+01 + EOS030 = 2.1661789529e01 + EOS130 = -3.3449108469e01 + EOS230 = 1.9717078466e01 EOS330 = -3.1742946532 EOS040 = -8.3627885467 - EOS140 = 1.1311538584e+01 + EOS140 = 1.1311538584e01 EOS240 = -5.3563304045 EOS050 = 5.4048723791e-01 EOS150 = 4.8169980163e-01 EOS060 = -1.9083568888e-01 - EOS001 = 1.9681925209e+01 - EOS101 = -4.2549998214e+01 - EOS201 = 5.0774768218e+01 - EOS301 = -3.0938076334e+01 + EOS001 = 1.9681925209e01 + EOS101 = -4.2549998214e01 + EOS201 = 5.0774768218e01 + EOS301 = -3.0938076334e01 EOS401 = 6.6051753097 - EOS011 = -1.3336301113e+01 + EOS011 = -1.3336301113e01 EOS111 = -4.4870114575 EOS211 = 5.0042598061 EOS311 = -6.5399043664e-01 @@ -108,29 +105,75 @@ def density(thetao,so,depth,tmask): EOS103 = -1.8507636718e-02 EOS013 = 3.7969820455e-01 - zh = depth * r1_Z0 # depth - zt = thetao * r1_T0 # temperature - zs = np.sqrt(np.abs(so + rdeltaS ) * r1_S0 ) # square root salinity + zh = depth * r1_Z0 # depth + zt = thetao * r1_T0 # temperature + zs = np.sqrt(np.abs(so + rdeltaS) * r1_S0) # square root salinity ztm = tmask - zn3 = EOS013*zt + EOS103*zs+EOS003 - zn2 = (EOS022*zt + EOS112*zs+EOS012)*zt + (EOS202*zs+EOS102)*zs+EOS002 - zn1 = (((EOS041*zt + EOS131*zs+EOS031)*zt + (EOS221*zs+EOS121)*zs+EOS021)*zt + ((EOS311*zs+EOS211)*zs+EOS111)*zs+EOS011)*zt + (((EOS401*zs+EOS301)*zs+EOS201)*zs+EOS101)*zs+EOS001 - zn0 = (((((EOS060*zt + EOS150*zs+EOS050)*zt + (EOS240*zs+EOS140)*zs+EOS040)*zt + ((EOS330*zs+EOS230)*zs+EOS130)*zs+EOS030)*zt + (((EOS420*zs+EOS320)*zs+EOS220)*zs+EOS120)*zs+EOS020)*zt + ((((EOS510*zs+EOS410)*zs+EOS310)*zs+EOS210)*zs+EOS110)*zs+EOS010)*zt + (((((EOS600*zs+EOS500)*zs+EOS400)*zs+EOS300)*zs+EOS200)*zs+EOS100)*zs+EOS000 - - zn = ( ( zn3 * zh + zn2 ) * zh + zn1 ) * zh + zn0 - - rhop = zn0 * ztm # potential density referenced at the surface - rho_insitu = zn * ztm # in-situ density (masked) + zn3 = EOS013 * zt + EOS103 * zs + EOS003 + zn2 = ( + (EOS022 * zt + EOS112 * zs + EOS012) * zt + (EOS202 * zs + EOS102) * zs + EOS002 + ) + zn1 = ( + ( + ( + (EOS041 * zt + EOS131 * zs + EOS031) * zt + + (EOS221 * zs + EOS121) * zs + + EOS021 + ) + * zt + + ((EOS311 * zs + EOS211) * zs + EOS111) * zs + + EOS011 + ) + * zt + + (((EOS401 * zs + EOS301) * zs + EOS201) * zs + EOS101) * zs + + EOS001 + ) + zn0 = ( + ( + ( + ( + ( + (EOS060 * zt + EOS150 * zs + EOS050) * zt + + (EOS240 * zs + EOS140) * zs + + EOS040 + ) + * zt + + ((EOS330 * zs + EOS230) * zs + EOS130) * zs + + EOS030 + ) + * zt + + (((EOS420 * zs + EOS320) * zs + EOS220) * zs + EOS120) * zs + + EOS020 + ) + * zt + + ((((EOS510 * zs + EOS410) * zs + EOS310) * zs + EOS210) * zs + EOS110) + * zs + + EOS010 + ) + * zt + + ( + ((((EOS600 * zs + EOS500) * zs + EOS400) * zs + EOS300) * zs + EOS200) * zs + + EOS100 + ) + * zs + + EOS000 + ) + + zn = ((zn3 * zh + zn2) * zh + zn1) * zh + zn0 + + rhop = zn0 * ztm # potential density referenced at the surface + rho_insitu = zn * ztm # in-situ density (masked) return rhop, rho_insitu +# C : Why do we need to modify inplace ? Can't we just return vn_new ? +# C : What is the difference between vn and vb ? -# C : Why do we need to modify inplace ? Can't we just return vn_new ? -# C : What is the difference between vn and vb ? - -def update_v_velocity(array,maskarray,e3t_new): #e3t_new = maskarray["e3t_0"].values[0,:,y_slice,x_slice] +def update_v_velocity( + array, maskarray, e3t_new +): # e3t_new = maskarray["e3t_0"].values[0,:,y_slice,x_slice] """ Update the v-component velocity array.Meridional @@ -142,31 +185,45 @@ def update_v_velocity(array,maskarray,e3t_new): #e3t_new = maskarra Returns: None """ - x_slice,y_slice = getXYslice(array) - vn = array.copy().variables['vn'] #initial v velocity of the restart - (t,z,y,x) - e1t = maskarray["e1t"].values[0,y_slice,x_slice] #initial y axis cell's thickness on grid T - (y,x) - vmask = maskarray["vmask"].values[0,:,y_slice,x_slice] #bathy mask on grid V - (z,y,x) - ff_f = maskarray["ff_f"].values[0,y_slice,x_slice] #corriolis force - (y,x) - tmask = maskarray["tmask"].values[0,:,y_slice,x_slice] - - rhop_new = array.variables['rhop'][0] - rhop_new = rhop_new.where(tmask).values #updated density - (t,z,y,x) - - diff_x = -np.roll(rhop_new,shift=1,axis=2) + rhop_new # - (t,z,y,x) - v_new = 9.81/(rhop_new*ff_f) * np.cumsum(diff_x*e3t_new/e1t,axis=1) # v without V_0 - (t,z,y,x) - v_new = np.expand_dims(v_new, axis=0) - vn_new = add_bottom_velocity(vn.values,v_new,vmask) # add V_0 - (t,z,y,x) - - array['vn'] = toXarray(vn_new,"vn") - array['vb'] = toXarray(vn_new,"vb") - array['ssv_m'] = toXarray(vn_new[:,0],"vb",dep=False) - #return v_new,vn_new - - -# C : What is "restart velocity array" ? Is it the source one ? -# C : v_update and v_restart should have a time dimension of 1 no ? + x_slice, y_slice = getXYslice(array) + vn = array.copy().variables[ + "vn" + ] # initial v velocity of the restart - (t,z,y,x) + e1t = maskarray["e1t"].values[ + 0, y_slice, x_slice + ] # initial y axis cell's thickness on grid T - (y,x) + vmask = maskarray["vmask"].values[ + 0, :, y_slice, x_slice + ] # bathy mask on grid V - (z,y,x) + ff_f = maskarray["ff_f"].values[ + 0, y_slice, x_slice + ] # corriolis force - (y,x) + tmask = maskarray["tmask"].values[0, :, y_slice, x_slice] + + rhop_new = array.variables["rhop"][0] + rhop_new = rhop_new.where( + tmask + ).values # updated density - (t,z,y,x) + + diff_x = ( + -np.roll(rhop_new, shift=1, axis=2) + rhop_new + ) # - (t,z,y,x) + v_new = ( + 9.81 / (rhop_new * ff_f) * np.cumsum(diff_x * e3t_new / e1t, axis=1) + ) # v without V_0 - (t,z,y,x) + v_new = np.expand_dims(v_new, axis=0) + vn_new = add_bottom_velocity(vn.values, v_new, vmask) # add V_0 - (t,z,y,x) + + array["vn"] = toXarray(vn_new, "vn") + array["vb"] = toXarray(vn_new, "vb") + array["ssv_m"] = toXarray(vn_new[:, 0], "vb", dep=False) + # return v_new,vn_new + + +# C : What is "restart velocity array" ? Is it the source one ? +# C : v_update and v_restart should have a time dimension of 1 no ? # C : In restart.py Maud have the same function with "ERROR MAUVAIS", what is the difference ? -def add_bottom_velocity(v_restart,v_update,mask): +def add_bottom_velocity(v_restart, v_update, mask): """ Add bottom velocity values to the updated velocity array. @@ -178,47 +235,54 @@ def add_bottom_velocity(v_restart,v_update,mask): Returns: v_restart (numpy.array): Velocity array with bottom velocity values added. """ - time,deptht,y,x = np.shape(v_update) + time, deptht, y, x = np.shape(v_update) for i in range(x): for j in range(y): - v0=False - for k in range(deptht)[::-1]: # From the bottom to the top : - if mask[k,j,i]==1 and v0==False: # If first cell of sea in the water column - v0 = v_restart[-1,k,j,i] # set V0 to the corresponding value - elif mask[k,j,i]==1 and v0!=False: # If cell is not in the bottom - v_restart[-1,k,j,i] = v0 + v_update[-1,k,j,i] # cell is equal to new v cell + v0 + v0 = False + for k in range(deptht)[::-1]: # From the bottom to the top : + if ( + mask[k, j, i] == 1 and v0 == False + ): # If first cell of sea in the water column + v0 = v_restart[ + -1, k, j, i + ] # set V0 to the corresponding value + elif ( + mask[k, j, i] == 1 and v0 != False + ): # If cell is not in the bottom + v_restart[-1, k, j, i] = ( + v0 + v_update[-1, k, j, i] + ) # cell is equal to new v cell + v0 return v_restart - - -if __name__ == '__main__' : +if __name__ == "__main__": # C : What is Radical here ? -> Name of the file # C : Use argparse radical = sys.argv[1] - MASKdataset = xr.open_dataset('../eORCA1.4.2_mesh_mask_modJD.nc',decode_times=False) - Restart = xr.open_dataset(radical+".nc",decode_times=False) + MASKdataset = xr.open_dataset( + "../eORCA1.4.2_mesh_mask_modJD.nc", decode_times=False + ) + Restart = xr.open_dataset(radical + ".nc", decode_times=False) Restart_NEW = Restart.copy() # C : In Maskdataset rename vertical axis with "nav_lev" and t in "time_counter" - - x_slice,y_slice = getXYslice(Restart) + x_slice, y_slice = getXYslice(Restart) - thetao=Restart.tn # C: Temperature - so=Restart.sn # C : Salinity - ssh=Restart.sshn # C : SSH - un=Restart.un.copy() # C : Zonal velocity (lat) - vn=Restart.vn.copy() # C : Meridional Velocity (lon) - e3t_ini=Restart.e3t_ini # C : Initial cell thickness ? + thetao = Restart.tn # C: Temperature + so = Restart.sn # C : Salinity + ssh = Restart.sshn # C : SSH + un = Restart.un.copy() # C : Zonal velocity (lat) + vn = Restart.vn.copy() # C : Meridional Velocity (lon) + e3t_ini = Restart.e3t_ini # C : Initial cell thickness ? # C : If e3t_ini and e3t_0 are the same, delete and use e3t_0 - ff_f=MASKdataset.ff_f # C : Coriolis ? + ff_f = MASKdataset.ff_f # C : Coriolis ? - e2t=MASKdataset.e2t # C : Zonal cell size ? - e1t=MASKdataset.e1t # C : Meridional cell size ? + e2t = MASKdataset.e2t # C : Zonal cell size ? + e1t = MASKdataset.e1t # C : Meridional cell size ? - # C: Vertical cell size ? + # C: Vertical cell size ? e3w_0 = MASKdataset.e3w_0 e3u_0 = MASKdataset.e3u_0 e3v_0 = MASKdataset.e3v_0 @@ -228,44 +292,42 @@ def add_bottom_velocity(v_restart,v_update,mask): umask = MASKdataset.umask vmask = MASKdataset.vmask - # Same as get_depth in restart.py - ssmask = tmask[:,0] #bathymetry - (t,y,x) - bathy = e3t_0.sum(dim="z") #initial condition depth 0 - (t,z,y,x) + ssmask = tmask[:, 0] # bathymetry - (t,y,x) + bathy = e3t_0.sum(dim="z") # initial condition depth 0 - (t,z,y,x) depth_0 = e3w_0.copy() - depth_0[:,0] = 0.5 * e3w_0[:,0] - depth_0[:,1:] = depth_0[:,0] + e3w_0[:,1:].cumsum(dim="z") - deptht = depth_0 * (1+ssh/(bathy + 1 - ssmask )) * tmask - rhop_new,rho_insitu_new=density(thetao,so,deptht,tmask) + depth_0[:, 0] = 0.5 * e3w_0[:, 0] + depth_0[:, 1:] = depth_0[:, 0] + e3w_0[:, 1:].cumsum(dim="z") + deptht = depth_0 * (1 + ssh / (bathy + 1 - ssmask)) * tmask + rhop_new, rho_insitu_new = density(thetao, so, deptht, tmask) - #C : No Rho regularisation / checking ? + # C : No Rho regularisation / checking ? # C : Here comment also (update_e3tm in restart.py) - e3t_new = e3t_ini*(1+(ssh*ssmask/(bathy+1-ssmask))) - + e3t_new = e3t_ini * (1 + (ssh * ssmask / (bathy + 1 - ssmask))) - rho_insitu=rho_insitu_new.where(tmask) - diff_y = rhop_new.roll(y=-1) - rhop_new # - (t,z,y,x) - u_new = 9.81/(rhop_new*ff_f) * (diff_y*e3t_new/e2t).cumsum(dim="z") - un_new = add_bottom_velocity(un,u_new,umask[0]) + rho_insitu = rho_insitu_new.where(tmask) + diff_y = rhop_new.roll(y=-1) - rhop_new # - (t,z,y,x) + u_new = 9.81 / (rhop_new * ff_f) * (diff_y * e3t_new / e2t).cumsum(dim="z") + un_new = add_bottom_velocity(un, u_new, umask[0]) - diff_x = -rhop_new.roll(x=1) + rhop_new # - (t,z,y,x) - v_new = 9.81/(rhop_new*ff_f) * (diff_x*e3t_new/e1t).cumsum(dim="z") # v without V_0 - (t,z,y,x) - vn_new = add_bottom_velocity(vn,v_new,vmask) + diff_x = -rhop_new.roll(x=1) + rhop_new # - (t,z,y,x) + v_new = ( + 9.81 / (rhop_new * ff_f) * (diff_x * e3t_new / e1t).cumsum(dim="z") + ) # v without V_0 - (t,z,y,x) + vn_new = add_bottom_velocity(vn, v_new, vmask) - Restart_NEW["un"]=un_new - Restart_NEW["vn"]=vn_new - Restart_NEW["rhop"]=rhop_new - Restart_NEW["ub"]=un_new - Restart_NEW["vb"]=vn_new + Restart_NEW["un"] = un_new + Restart_NEW["vn"] = vn_new + Restart_NEW["rhop"] = rhop_new + Restart_NEW["ub"] = un_new + Restart_NEW["vb"] = vn_new # C : To Add e3tm, ssu_m, ssv_m - # Not modified yet ( no forecast ) but for later Restart_NEW["tn"] = thetao Restart_NEW["sn"] = so Restart_NEW["sshn"] = ssh - - Restart_NEW.to_netcdf(radical+"_NEW.nc") + Restart_NEW.to_netcdf(radical + "_NEW.nc") diff --git a/standalone/restarter_V2.py b/standalone/restarter_V2.py index 22ec3f4..a134b78 100644 --- a/standalone/restarter_V2.py +++ b/standalone/restarter_V2.py @@ -1,17 +1,17 @@ -#$1 : Radical +# $1 : Radical # # - import numpy as np import xarray as xr import matplotlib.pyplot as plt -import copy +import copy import os import sys from ipdb import set_trace + def getXYslice(array): """ Given a Restart array with 'DOMAIN_position_first' and 'DOMAIN_position_last' attributes, @@ -19,20 +19,19 @@ def getXYslice(array): Parameters: array (xarray.DataArray) : Restart file - + Returns x_string (slice dtype=float) : range of x positions y_string (slice dtype=float) : range of y positions """ - First = array.DOMAIN_position_first - Last = array.DOMAIN_position_last - x_slice = slice(First[0]-1,Last[0]) - y_slice = slice(First[1]-1,Last[1]) + First = array.DOMAIN_position_first + Last = array.DOMAIN_position_last + x_slice = slice(First[0] - 1, Last[0]) + y_slice = slice(First[1] - 1, Last[1]) return x_slice, y_slice - -def density(thetao,so,depth,tmask): +def density(thetao, so, depth, tmask): """ Compute potential density referenced at the surface and in-situ density. @@ -48,44 +47,44 @@ def density(thetao,so,depth,tmask): array: In Situ Density. """ rdeltaS = 32.0 - r1_S0 = 0.875/35.16504 - r1_T0 = 1./40. - r1_Z0 = 1.e-4 - - EOS000 = 8.0189615746e+02 - EOS100 = 8.6672408165e+02 - EOS200 = -1.7864682637e+03 - EOS300 = 2.0375295546e+03 - EOS400 = -1.2849161071e+03 - EOS500 = 4.3227585684e+02 - EOS600 = -6.0579916612e+01 - EOS010 = 2.6010145068e+01 - EOS110 = -6.5281885265e+01 - EOS210 = 8.1770425108e+01 - EOS310 = -5.6888046321e+01 - EOS410 = 1.7681814114e+01 + r1_S0 = 0.875 / 35.16504 + r1_T0 = 1.0 / 40.0 + r1_Z0 = 1.0e-4 + + EOS000 = 8.0189615746e02 + EOS100 = 8.6672408165e02 + EOS200 = -1.7864682637e03 + EOS300 = 2.0375295546e03 + EOS400 = -1.2849161071e03 + EOS500 = 4.3227585684e02 + EOS600 = -6.0579916612e01 + EOS010 = 2.6010145068e01 + EOS110 = -6.5281885265e01 + EOS210 = 8.1770425108e01 + EOS310 = -5.6888046321e01 + EOS410 = 1.7681814114e01 EOS510 = -1.9193502195 - EOS020 = -3.7074170417e+01 - EOS120 = 6.1548258127e+01 - EOS220 = -6.0362551501e+01 - EOS320 = 2.9130021253e+01 + EOS020 = -3.7074170417e01 + EOS120 = 6.1548258127e01 + EOS220 = -6.0362551501e01 + EOS320 = 2.9130021253e01 EOS420 = -5.4723692739 - EOS030 = 2.1661789529e+01 - EOS130 = -3.3449108469e+01 - EOS230 = 1.9717078466e+01 + EOS030 = 2.1661789529e01 + EOS130 = -3.3449108469e01 + EOS230 = 1.9717078466e01 EOS330 = -3.1742946532 EOS040 = -8.3627885467 - EOS140 = 1.1311538584e+01 + EOS140 = 1.1311538584e01 EOS240 = -5.3563304045 EOS050 = 5.4048723791e-01 EOS150 = 4.8169980163e-01 EOS060 = -1.9083568888e-01 - EOS001 = 1.9681925209e+01 - EOS101 = -4.2549998214e+01 - EOS201 = 5.0774768218e+01 - EOS301 = -3.0938076334e+01 + EOS001 = 1.9681925209e01 + EOS101 = -4.2549998214e01 + EOS201 = 5.0774768218e01 + EOS301 = -3.0938076334e01 EOS401 = 6.6051753097 - EOS011 = -1.3336301113e+01 + EOS011 = -1.3336301113e01 EOS111 = -4.4870114575 EOS211 = 5.0042598061 EOS311 = -6.5399043664e-01 @@ -104,25 +103,70 @@ def density(thetao,so,depth,tmask): EOS003 = -2.3342758797e-02 EOS103 = -1.8507636718e-02 EOS013 = 3.7969820455e-01 - - zh = depth * r1_Z0 # depth - zt = thetao * r1_T0 # temperature - zs = np.sqrt(np.abs(so + rdeltaS ) * r1_S0 ) # square root salinity + + zh = depth * r1_Z0 # depth + zt = thetao * r1_T0 # temperature + zs = np.sqrt(np.abs(so + rdeltaS) * r1_S0) # square root salinity ztm = tmask - - zn3 = EOS013*zt + EOS103*zs+EOS003 - zn2 = (EOS022*zt + EOS112*zs+EOS012)*zt + (EOS202*zs+EOS102)*zs+EOS002 - zn1 = (((EOS041*zt + EOS131*zs+EOS031)*zt + (EOS221*zs+EOS121)*zs+EOS021)*zt + ((EOS311*zs+EOS211)*zs+EOS111)*zs+EOS011)*zt + (((EOS401*zs+EOS301)*zs+EOS201)*zs+EOS101)*zs+EOS001 - zn0 = (((((EOS060*zt + EOS150*zs+EOS050)*zt + (EOS240*zs+EOS140)*zs+EOS040)*zt + ((EOS330*zs+EOS230)*zs+EOS130)*zs+EOS030)*zt + (((EOS420*zs+EOS320)*zs+EOS220)*zs+EOS120)*zs+EOS020)*zt + ((((EOS510*zs+EOS410)*zs+EOS310)*zs+EOS210)*zs+EOS110)*zs+EOS010)*zt + (((((EOS600*zs+EOS500)*zs+EOS400)*zs+EOS300)*zs+EOS200)*zs+EOS100)*zs+EOS000 - - zn = ( ( zn3 * zh + zn2 ) * zh + zn1 ) * zh + zn0 - - rhop = zn0 * ztm # potential density referenced at the surface - rho_insitu = zn * ztm # in-situ density (masked) + + zn3 = EOS013 * zt + EOS103 * zs + EOS003 + zn2 = ( + (EOS022 * zt + EOS112 * zs + EOS012) * zt + (EOS202 * zs + EOS102) * zs + EOS002 + ) + zn1 = ( + ( + ( + (EOS041 * zt + EOS131 * zs + EOS031) * zt + + (EOS221 * zs + EOS121) * zs + + EOS021 + ) + * zt + + ((EOS311 * zs + EOS211) * zs + EOS111) * zs + + EOS011 + ) + * zt + + (((EOS401 * zs + EOS301) * zs + EOS201) * zs + EOS101) * zs + + EOS001 + ) + zn0 = ( + ( + ( + ( + ( + (EOS060 * zt + EOS150 * zs + EOS050) * zt + + (EOS240 * zs + EOS140) * zs + + EOS040 + ) + * zt + + ((EOS330 * zs + EOS230) * zs + EOS130) * zs + + EOS030 + ) + * zt + + (((EOS420 * zs + EOS320) * zs + EOS220) * zs + EOS120) * zs + + EOS020 + ) + * zt + + ((((EOS510 * zs + EOS410) * zs + EOS310) * zs + EOS210) * zs + EOS110) + * zs + + EOS010 + ) + * zt + + ( + ((((EOS600 * zs + EOS500) * zs + EOS400) * zs + EOS300) * zs + EOS200) * zs + + EOS100 + ) + * zs + + EOS000 + ) + + zn = ((zn3 * zh + zn2) * zh + zn1) * zh + zn0 + + rhop = zn0 * ztm # potential density referenced at the surface + rho_insitu = zn * ztm # in-situ density (masked) return rhop, rho_insitu -def add_bottom_velocity(v_restart,v_update,mask): +def add_bottom_velocity(v_restart, v_update, mask): """ Add bottom velocity values to the updated velocity array. @@ -134,153 +178,151 @@ def add_bottom_velocity(v_restart,v_update,mask): Returns: v_restart (numpy.array): Velocity array with bottom velocity values added. """ - time,deptht,y,x = np.shape(v_update) - ind_prof=(mask.argmin(dim="nav_lev")-1)*mask.isel(nav_lev=0) -# vu=v_update.groupby(np.isnan(v_update)) - v_fond=v_restart.isel(nav_lev=ind_prof,time_counter=0) -# v_restart=v_restart.groupby(np.isnan(v_update)).map(parser, vu=vu, v_fond=v_fond) + time, deptht, y, x = np.shape(v_update) + ind_prof = (mask.argmin(dim="nav_lev") - 1) * mask.isel(nav_lev=0) + # vu=v_update.groupby(np.isnan(v_update)) + v_fond = v_restart.isel(nav_lev=ind_prof, time_counter=0) + # v_restart=v_restart.groupby(np.isnan(v_update)).map(parser, vu=vu, v_fond=v_fond) mask_nan_update = np.isnan(v_update) - v_new = mask_nan_update * v_restart + (1-mask_nan_update) * (v_fond + v_update) + v_new = mask_nan_update * v_restart + (1 - mask_nan_update) * (v_fond + v_update) return v_restart - - - #for i in range(x): + + # for i in range(x): # for j in range(y): # v0=False # print("i,j=",i,' ',j) - # + # # if mask[0,j,i]==1: # for k in range(deptht)[::-1]:# From the bottom to the top : # if mask[k,j,i]==1 and v0==False: # If first cell of sea in the water column # v0 = v_restart[-1,k,j,i] # print(v0,' ',k) # set V0 to the corresponding value # elif mask[k,j,i]==1 and v0!=False: # If cell is not in the bottom - # v_restart[-1,k,j,i] = v0 + v_update[-1,k,j,i] # cell is equal to new v cell + v0 + # v_restart[-1,k,j,i] = v0 + v_update[-1,k,j,i] # cell is equal to new v cell + v0 + -#def parser(gb_da, vu, v_fond): +# def parser(gb_da, vu, v_fond): # if gb_da.name="1": # return vu["1"]+ v_fond # else: # return gb_da - -if __name__ == '__main__' : +if __name__ == "__main__": radical = sys.argv[1] - MASKdataset = xr.open_dataset('../eORCA1.4.2_mesh_mask_modJD.nc',decode_times=False) - Restart = xr.open_dataset(radical+".nc",decode_times=False) - MASKdataset = MASKdataset.swap_dims(dims_dict={"z": "nav_lev","t":"time_counter"}) - MASKdataset["time_counter"]=Restart["time_counter"] + MASKdataset = xr.open_dataset( + "../eORCA1.4.2_mesh_mask_modJD.nc", decode_times=False + ) + Restart = xr.open_dataset(radical + ".nc", decode_times=False) + MASKdataset = MASKdataset.swap_dims(dims_dict={"z": "nav_lev", "t": "time_counter"}) + MASKdataset["time_counter"] = Restart["time_counter"] Restart_NEW = Restart.copy() -#Part to replace with ML-extrapolated data ### - thetao=Restart.tn # - so=Restart.sn # - ssh=Restart.sshn # -############################################## - un=Restart.un.copy() - vn=Restart.vn.copy() - e3t_ini=Restart.e3t_ini - - ff_f=MASKdataset.ff_f - - e2t=MASKdataset.e2t - e1t=MASKdataset.e1t - + # Part to replace with ML-extrapolated data ### + thetao = Restart.tn # + so = Restart.sn # + ssh = Restart.sshn # + ############################################## + un = Restart.un.copy() + vn = Restart.vn.copy() + e3t_ini = Restart.e3t_ini + + ff_f = MASKdataset.ff_f + + e2t = MASKdataset.e2t + e1t = MASKdataset.e1t + e3w_0 = MASKdataset.e3w_0 e3u_0 = MASKdataset.e3u_0 e3v_0 = MASKdataset.e3v_0 e3t_0 = MASKdataset.e3t_0 - + tmask = MASKdataset.tmask umask = MASKdataset.umask vmask = MASKdataset.vmask - ssmask = tmask[:,0] #bathymetry - (t,y,x) - bathy = e3t_0.sum(dim="nav_lev") #initial condition depth 0 - (t,z,y,x) + ssmask = tmask[:, 0] # bathymetry - (t,y,x) + bathy = e3t_0.sum( + dim="nav_lev" + ) # initial condition depth 0 - (t,z,y,x) depth_0 = e3w_0.copy() - depth_0[:,0] = 0.5 * e3w_0[:,0] - #print(depth_0) - #print(depth_0[:,0]) - #print(e3w_0[:,1:]) - #print(e3w_0[:,1:].cumsum(dim="nav_lev")) - #set_trace() - depth_0[:,1:] = depth_0[:,0:1].data + e3w_0[:,1:].cumsum(dim="nav_lev") - -# set_trace() - deptht = depth_0 * (1+ssh/(bathy + 1 - ssmask )) * tmask - rhop_new,rho_insitu_new=density(thetao,so,deptht,tmask) - - e3t_new = e3t_ini*(1+ssh*ssmask/(bathy+1-ssmask)) - - ind_prof_u=(umask.argmin(dim="nav_lev")-1)*umask.isel(nav_lev=0) - ind_prof_v=(vmask.argmin(dim="nav_lev")-1)*vmask.isel(nav_lev=0) - - rho_insitu=rho_insitu_new.where(tmask) - diff_y = rho_insitu.roll(y=-1) - rho_insitu # - (t,z,y,x) - u_new = 9.81/ff_f * (diff_y/rho_insitu*e3t_new/e2t).cumsum(dim="nav_lev") + depth_0[:, 0] = 0.5 * e3w_0[:, 0] + # print(depth_0) + # print(depth_0[:,0]) + # print(e3w_0[:,1:]) + # print(e3w_0[:,1:].cumsum(dim="nav_lev")) + # set_trace() + depth_0[:, 1:] = depth_0[:, 0:1].data + e3w_0[:, 1:].cumsum(dim="nav_lev") + + # set_trace() + deptht = depth_0 * (1 + ssh / (bathy + 1 - ssmask)) * tmask + rhop_new, rho_insitu_new = density(thetao, so, deptht, tmask) + + e3t_new = e3t_ini * (1 + ssh * ssmask / (bathy + 1 - ssmask)) + + ind_prof_u = (umask.argmin(dim="nav_lev") - 1) * umask.isel(nav_lev=0) + ind_prof_v = (vmask.argmin(dim="nav_lev") - 1) * vmask.isel(nav_lev=0) + + rho_insitu = rho_insitu_new.where(tmask) + diff_y = rho_insitu.roll(y=-1) - rho_insitu # - (t,z,y,x) + u_new = 9.81 / ff_f * (diff_y / rho_insitu * e3t_new / e2t).cumsum(dim="nav_lev") u_new = u_new - u_new.isel(nav_lev=ind_prof_u) - un_new = add_bottom_velocity(un,u_new,umask[0]) + un_new = add_bottom_velocity(un, u_new, umask[0]) - diff_x = -rho_insitu.roll(x=1) + rho_insitu # - (t,z,y,x) - v_new = 9.81/ff_f * (diff_x/rho_insitu*e3t_new/e1t).cumsum(dim="nav_lev") # v without V_0 - (t,z,y,x) C: On intègre vers le fond puis on retire la valeur au fond sur toute la colonne pour avoir v_fond=vo + diff_x = -rho_insitu.roll(x=1) + rho_insitu # - (t,z,y,x) + v_new = ( + 9.81 / ff_f * (diff_x / rho_insitu * e3t_new / e1t).cumsum(dim="nav_lev") + ) # v without V_0 - (t,z,y,x) C: On intègre vers le fond puis on retire la valeur au fond sur toute la colonne pour avoir v_fond=vo v_new = v_new - v_new.isel(nav_lev=ind_prof_v) - vn_new = add_bottom_velocity(vn,v_new,vmask[0]) - -# Modifying the Global Restart file and recording it for analysis - Restart["un"]=un_new[:,:] - Restart["vn"]=vn_new[:,:] - Restart["ub"]=un_new[:,:] - Restart["vb"]=vn_new[:,:] - Restart["sn"]=so[:,:] - Restart["tn"]=thetao[:,:] - Restart["sb"]=so[:,:] - Restart["tb"]=thetao[:,:] - Restart["sshn"]=ssh[:,:] - Restart["sshb"]=ssh[:,:] + vn_new = add_bottom_velocity(vn, v_new, vmask[0]) - Restart["rhop"]=rhop_new[:,:] + # Modifying the Global Restart file and recording it for analysis + Restart["un"] = un_new[:, :] + Restart["vn"] = vn_new[:, :] + Restart["ub"] = un_new[:, :] + Restart["vb"] = vn_new[:, :] + Restart["sn"] = so[:, :] + Restart["tn"] = thetao[:, :] + Restart["sb"] = so[:, :] + Restart["tb"] = thetao[:, :] + Restart["sshn"] = ssh[:, :] + Restart["sshb"] = ssh[:, :] - Restart["ssv_m"]=vn_new[:,0] - Restart["ssu_m"]=un_new[:,0] - Restart["sst_m"]=thetao[:,0] - Restart["sss_m"]=so[:,0] - Restart["ssh_m"]=ssh[:] - Restart["e3t_m"]=e3t_new[:,0] + Restart["rhop"] = rhop_new[:, :] + Restart["ssv_m"] = vn_new[:, 0] + Restart["ssu_m"] = un_new[:, 0] + Restart["sst_m"] = thetao[:, 0] + Restart["sss_m"] = so[:, 0] + Restart["ssh_m"] = ssh[:] + Restart["e3t_m"] = e3t_new[:, 0] - Restart.to_netcdf(radical+"_NEW.nc") + Restart.to_netcdf(radical + "_NEW.nc") - -#Modifying the Local Restart files for use in Accelerated Simulation + # Modifying the Local Restart files for use in Accelerated Simulation for i in range(340): - Restart_NEW=xr.open_dataset(radical+"_%04d.nc"%(i)) + Restart_NEW = xr.open_dataset(radical + "_%04d.nc" % (i)) print(i) - x_slice,y_slice = getXYslice(Restart_NEW) - Restart_NEW["un"]=un_new[:,:,y_slice,x_slice] - Restart_NEW["vn"]=vn_new[:,:,y_slice,x_slice] - Restart_NEW["ub"]=un_new[:,:,y_slice,x_slice] - Restart_NEW["vb"]=vn_new[:,:,y_slice,x_slice] - Restart_NEW["sn"]=so[:,:,y_slice,x_slice] - Restart_NEW["tn"]=thetao[:,:,y_slice,x_slice] - Restart_NEW["sb"]=so[:,:,y_slice,x_slice] - Restart_NEW["tb"]=thetao[:,:,y_slice,x_slice] - Restart_NEW["sshn"]=ssh[:,:,y_slice,x_slice] - Restart_NEW["sshb"]=ssh[:,:,y_slice,x_slice] - - Restart_NEW["rhop"]=rhop_new[:,:,y_slice,x_slice] - - Restart_NEW["ssv_m"]=vn_new[:,0,y_slice,x_slice] - Restart_NEW["ssu_m"]=un_new[:,0,y_slice,x_slice] - Restart_NEW["sst_m"]=thetao[:,0,y_slice,x_slice] - Restart_NEW["sss_m"]=so[:,0,y_slice,x_slice] - Restart_NEW["ssh_m"]=ssh[:,y_slice,x_slice] - Restart_NEW["e3t_m"]=e3t_new[:,0,y_slice,x_slice] - - Restart_NEW.to_netcdf(radical+"_%04d_NEW.nc"%(i)) - - - - - + x_slice, y_slice = getXYslice(Restart_NEW) + Restart_NEW["un"] = un_new[:, :, y_slice, x_slice] + Restart_NEW["vn"] = vn_new[:, :, y_slice, x_slice] + Restart_NEW["ub"] = un_new[:, :, y_slice, x_slice] + Restart_NEW["vb"] = vn_new[:, :, y_slice, x_slice] + Restart_NEW["sn"] = so[:, :, y_slice, x_slice] + Restart_NEW["tn"] = thetao[:, :, y_slice, x_slice] + Restart_NEW["sb"] = so[:, :, y_slice, x_slice] + Restart_NEW["tb"] = thetao[:, :, y_slice, x_slice] + Restart_NEW["sshn"] = ssh[:, :, y_slice, x_slice] + Restart_NEW["sshb"] = ssh[:, :, y_slice, x_slice] + + Restart_NEW["rhop"] = rhop_new[:, :, y_slice, x_slice] + + Restart_NEW["ssv_m"] = vn_new[:, 0, y_slice, x_slice] + Restart_NEW["ssu_m"] = un_new[:, 0, y_slice, x_slice] + Restart_NEW["sst_m"] = thetao[:, 0, y_slice, x_slice] + Restart_NEW["sss_m"] = so[:, 0, y_slice, x_slice] + Restart_NEW["ssh_m"] = ssh[:, y_slice, x_slice] + Restart_NEW["e3t_m"] = e3t_new[:, 0, y_slice, x_slice] + + Restart_NEW.to_netcdf(radical + "_%04d_NEW.nc" % (i)) From aae7ebfd34c7cc084700d731f6a8e782ae9831dc Mon Sep 17 00:00:00 2001 From: Matt Archer Date: Wed, 18 Sep 2024 20:18:30 +0100 Subject: [PATCH 3/8] Add pre-commit hook --- .pre-commit-config.yaml | 14 ++++++++++++++ 1 file changed, 14 insertions(+) create mode 100644 .pre-commit-config.yaml diff --git a/.pre-commit-config.yaml b/.pre-commit-config.yaml new file mode 100644 index 0000000..1431c27 --- /dev/null +++ b/.pre-commit-config.yaml @@ -0,0 +1,14 @@ +# See https://pre-commit.com/hooks.html for more hooks +repos: + - repo: https://github.com/pre-commit/pre-commit-hooks + rev: v3.2.0 + hooks: + - id: trailing-whitespace + - id: end-of-file-fixer + - id: check-yaml + - id: check-added-large-files + - repo: https://github.com/astral-sh/ruff-pre-commit + rev: v0.4.5 + hooks: + - id: ruff-format + types_or: [ python ] From e1a8a9126f8cf1f04a8cd4fd139e66d0b9ecbf6c Mon Sep 17 00:00:00 2001 From: Matt Archer Date: Wed, 18 Sep 2024 20:41:43 +0100 Subject: [PATCH 4/8] Format unchanged files by removing eol characters --- README.md | 46 ++++++++++++++++++++--------------------- lib/forecast.py | 4 ++-- main_restart.py | 2 +- tools/CMIP_to_xarray.sh | 5 ++--- 4 files changed, 28 insertions(+), 29 deletions(-) diff --git a/README.md b/README.md index aa68357..24b164d 100644 --- a/README.md +++ b/README.md @@ -3,58 +3,58 @@ change update_rho -> thetao_new => Restart["tn"] # EMULATOR FRO NEMO MODEL ![img1](img/emulator.png) -Add retstart and prepare +Add retstart and prepare # Jumper.ipynb -### *Prepare and forecast simulations* +### *Prepare and forecast simulations* -The objective is to implement a Gaussian process forecast to forecast yearly simulations of NEMO coupled climate model. For this we need simulations files of the sea surface height (zos or ssh), the salinity (so) and temperature (thetao). +The objective is to implement a Gaussian process forecast to forecast yearly simulations of NEMO coupled climate model. For this we need simulations files of the sea surface height (zos or ssh), the salinity (so) and temperature (thetao). We apply PCA on each simulation to transform those features to time series. And we observe the trend in the first component. ![img1](img/jumper1.png) We forecast each component with a Gaussian process with the following kernel. -- Long term trend : 0.1*DotProduct(sigma_0=0.0) +- Long term trend : 0.1*DotProduct(sigma_0=0.0) - Periodic patterns : 10 * ExpSineSquared(length_scale=5/45, periodicity=5/45)#0.5**2*RationalQuadratic(length_scale=5.0, alpha=1.0) + 10 * ExpSineSquared(length_scale=5.0) - White noise : 2*WhiteKernel(noise_level=1) - + ![img2](img/jumper3.png) -And we evaluate the RMSE +And we evaluate the RMSE ![img2](img/jumper2.png) # Restart.ipynb -### *Update of restart files for NEMO* +### *Update of restart files for NEMO* The objective is to update the last restart file to initialize the jump. For this we need the 340 restarts files of the last simulated year. We also need the predictions of the sea surface height (zos or ssh), the salinity (so) and temperature (thetao). We also need the Mask dataset of the corresponding simulation where several informations are needed. ![img5](img/img3.png) -### 1 - Predicted features -- zos : Predicted sea surface height (ssh) - grid T - t,y,x -- so : Predicted salinity - grid T - t,z,y,x +### 1 - Predicted features +- zos : Predicted sea surface height (ssh) - grid T - t,y,x +- so : Predicted salinity - grid T - t,z,y,x - thetao : Predicted temperature - grid T - t,z,y,x -### 2 - Maskdataset +### 2 - Maskdataset **The Maskdataset contains mask on all grids, vectors and constants** - -- dimensions t:1 y:331 x:360 z:75 -- umask : continent mask for u grid (continent : 0, sea : 1) + +- dimensions t:1 y:331 x:360 z:75 +- umask : continent mask for u grid (continent : 0, sea : 1) - vmask : continent mask for v grid (continent : 0, sea : 1) - e3t_0 : initial thickness of cell on z axis on grid T (e:thickness, i:direction, t:grid, 0:initial state / ref) = e3t_ini restart -- e2t : thickness of cell on y axis on grid T +- e2t : thickness of cell on y axis on grid T - e1t : thickness of cell on y axis on grid T -- ff_f : corriolis force +- ff_f : corriolis force ### 3 - Necessary features to update restart -This is the list of features from the source restart file we need to exploit to update restart. +This is the list of features from the source restart file we need to exploit to update restart. - e3t : e3t_ini*(1+tmask4D*np.expand_dims(np.tile(ssh*ssmask/(bathy+(1-ssmask)),(75,1,1)),axis=0)) - deptht : depth of the z axis - grid T @@ -62,11 +62,11 @@ This is the list of features from the source restart file we need to exploit to ### 4 - Restart file update **The restart files contains all physical and dynamical features of the simulation** - -There is a total of 340 restart file per year. Each file contains a slice of x and y dimensions. Each files contains 58 data variables which 15 are updates using the predictions - -**NB** : difference between now (n) and before (b) arrays : they represent the same states, in practice the restart file save two successive states. In our code we set the two to the same state to use euler forward for the restart. +There is a total of 340 restart file per year. Each file contains a slice of x and y dimensions. Each files contains 58 data variables which 15 are updates using the predictions + + +**NB** : difference between now (n) and before (b) arrays : they represent the same states, in practice the restart file save two successive states. In our code we set the two to the same state to use euler forward for the restart. - ssh(n/b) : sea surface height => last prediction of zos - s(n/b) : sea salinity => last prediction of so @@ -95,9 +95,9 @@ F # main -### *Prepare and forecast simulations and initialize restarts files with one command line* +### *Prepare and forecast simulations and initialize restarts files with one command line* Prepare, forecats and predict -NB : En amont code de Guillaume pour obtenir des moyennes annuelles +NB : En amont code de Guillaume pour obtenir des moyennes annuelles #python main.py --ye True --start 25 --end 65 --comp 0.9 --steps 30 --path /scratchu/mtissot/SIMUp6Y diff --git a/lib/forecast.py b/lib/forecast.py index 4c0fa10..9328e1b 100644 --- a/lib/forecast.py +++ b/lib/forecast.py @@ -78,7 +78,7 @@ class Simulation: x_size (int) : The size of the x dimension. z_size (int or None) : The size of the z dimension, if available. shape (tuple) : The shape of the simulation data. - simulation (xarray.DataArray) : The loaded simulation data + simulation (xarray.DataArray) : The loaded simulation data """ def __init__( @@ -296,7 +296,7 @@ def getPC(self, n): Returns: (numpy.ndarray): The principal component map. """ - map_ = np.zeros((np.product(self.shape)), dtype=float) + map_ = np.zeros((np.prod(self.shape)), dtype=float) map_[~self.bool_mask] = np.nan map_[self.bool_mask] = self.pca.components_[n] map_ = map_.reshape(self.shape) diff --git a/main_restart.py b/main_restart.py index 707b705..e903a72 100644 --- a/main_restart.py +++ b/main_restart.py @@ -95,7 +95,7 @@ def update_Restarts(restarts_file, mask_file, jobs=10): recordFullRestart(args.restart_path, args.radical, restart) recordPiecedRestart(args.restart_path, args.radical, restart) - print("""All done. Now you just need to : + print("""All done. Now you just need to : - Back transform the coordinates of the pieced restart files using ncks to the original version (see bash script xarray_to_CMIP.sh) - Rename/Overwrite the "NEW_" restart files to their old version if you’re happy with them (see other bash script rewrite.sh) - Point to the restart directory in your simulation config.card (if all your non-NEMO restart files are also in the restart_path directory, of course). diff --git a/tools/CMIP_to_xarray.sh b/tools/CMIP_to_xarray.sh index fafee1f..d41a55a 100755 --- a/tools/CMIP_to_xarray.sh +++ b/tools/CMIP_to_xarray.sh @@ -1,10 +1,9 @@ #### # Hopefully you made sure your restart files have been made modifiable ( chmod 666 should be fine) -# +# #### for i in "$@"; do ncrename -v y,yy $i - ncrename -v x,xx $i + ncrename -v x,xx $i done - From 8c71e7555c9ffc294e1bd6919d27b47e0f28d712 Mon Sep 17 00:00:00 2001 From: Matt Archer Date: Fri, 8 Nov 2024 11:58:32 +0000 Subject: [PATCH 5/8] Remove .ipynb checkpoints --- .ipynb_checkpoints/Jumper-checkpoint.ipynb | 942 ------------ .ipynb_checkpoints/Restart-checkpoint.ipynb | 742 ---------- .ipynb_checkpoints/densite-checkpoint.py | 1297 ----------------- .ipynb_checkpoints/forecast-checkpoint.py | 457 ------ .ipynb_checkpoints/jump2-checkpoint.py | 287 ---- .ipynb_checkpoints/jumper-checkpoint.py | 493 ------- .ipynb_checkpoints/jumper_copy-checkpoint.py | 439 ------ .ipynb_checkpoints/main-checkpoint.py | 116 -- .../main_forecast-checkpoint.py | 65 - .ipynb_checkpoints/main_restart-checkpoint.py | 69 - .ipynb_checkpoints/restart-checkpoint.py | 258 ---- lib/.ipynb_checkpoints/forecast-checkpoint.py | 697 --------- lib/.ipynb_checkpoints/restart-checkpoint.py | 423 ------ 13 files changed, 6285 deletions(-) delete mode 100644 .ipynb_checkpoints/Jumper-checkpoint.ipynb delete mode 100644 .ipynb_checkpoints/Restart-checkpoint.ipynb delete mode 100644 .ipynb_checkpoints/densite-checkpoint.py delete mode 100644 .ipynb_checkpoints/forecast-checkpoint.py delete mode 100644 .ipynb_checkpoints/jump2-checkpoint.py delete mode 100644 .ipynb_checkpoints/jumper-checkpoint.py delete mode 100644 .ipynb_checkpoints/jumper_copy-checkpoint.py delete mode 100644 .ipynb_checkpoints/main-checkpoint.py delete mode 100644 .ipynb_checkpoints/main_forecast-checkpoint.py delete mode 100644 .ipynb_checkpoints/main_restart-checkpoint.py delete mode 100644 .ipynb_checkpoints/restart-checkpoint.py delete mode 100644 lib/.ipynb_checkpoints/forecast-checkpoint.py delete mode 100644 lib/.ipynb_checkpoints/restart-checkpoint.py diff --git a/.ipynb_checkpoints/Jumper-checkpoint.ipynb b/.ipynb_checkpoints/Jumper-checkpoint.ipynb deleted file mode 100644 index 7f9893b..0000000 --- a/.ipynb_checkpoints/Jumper-checkpoint.ipynb +++ /dev/null @@ -1,942 +0,0 @@ -{ - "cells": [ - { - "cell_type": "code", - "execution_count": 1, - "id": "15ebab2d-6e35-4a30-b394-a594ec66582d", - "metadata": {}, - "outputs": [], - "source": [ - "import numpy as np\n", - "import pandas as pd\n", - "import matplotlib.pyplot as plt\n", - "import sys \n", - "import os\n", - "\n", - "#import plotly.express as px\n", - "import pickle\n", - "import random \n", - "\n", - "sys.path.insert(0,\"/home/mtissot/SpinUp/lib2\")\n", - "import prepare as p1\n", - "import forecast as p2\n", - "#test\n", - "\n", - "import importlib\n", - "importlib.reload(p1)\n", - "importlib.reload(p2)\n", - "\n", - "\n", - "import importlib\n", - "import jumper\n", - "importlib.reload(jumper)\n", - "from jumper import Predictions, Simulation, load_ts" - ] - }, - { - "cell_type": "markdown", - "id": "bd2c5a72-ce8b-4313-912b-502dc30186a6", - "metadata": {}, - "source": [ - "## What parameters we can change?\n", - "\n", - "### Prepare\n", - "- path : path of the simulation - string\n", - "- ye : yearly average of the simulation - bool\n", - "- start : start for the training data int\n", - "- end : end for the training data - int\n", - "- comp : explained variance ratio - float or int\n", - "\n", - "### Predictions:\n", - "- steps : Number of steps to forecast" - ] - }, - { - "cell_type": "markdown", - "id": "a4e94c6e-0821-4e59-a262-707f7bb6af56", - "metadata": {}, - "source": [ - "# **LOAD & PREPARE**" - ] - }, - { - "cell_type": "code", - "execution_count": 2, - "id": "2151b2cb-19fd-46ab-a9c5-e00760bb884f", - "metadata": { - "tags": [] - }, - "outputs": [], - "source": [ - "ye,start,end = True,25,70\n", - "ye = False\n", - "path =\"/scratchu/mtissot/SIMUp6Y\"" - ] - }, - { - "cell_type": "code", - "execution_count": 3, - "id": "ad330a66-7cf0-4677-9287-31181ab752ab", - "metadata": { - "tags": [] - }, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "zos loaded\n", - "so loaded\n", - "thetao loaded\n", - "\n", - "zos prepared\n", - "so prepared\n", - "thetao prepared\n" - ] - } - ], - "source": [ - "simu_zos = Simulation(path=path,start=start,end=end,ye=ye,term=\"zos\") \n", - "print(\"zos loaded\")\n", - "simu_so = Simulation(path=path,start=start,end=end,ye=ye,term=\"so\") \n", - "print(\"so loaded\")\n", - "simu_thetao = Simulation(path=path,start=start,end=end,ye=ye,term=\"thetao\") \n", - "print(\"thetao loaded\")\n", - "\n", - "#REMTTRE BIEN GET DATA APRES return grid[:1] => return grid\n", - "simu_zos.prepare() \n", - "print(\"\\nzos prepared\")\n", - "simu_so.prepare() \n", - "print(\"so prepared\")\n", - "simu_thetao.prepare() \n", - "print(\"thetao prepared\")\n", - "\n", - "\n", - "#LoadSimu : essayer avec des chunks plus gros et plus de jobs pour 3D \n", - "#Prepare : Cut spin Up - Remove Closed seas - Standardize - (old : Replace bathy nan values by the mean) - to float32" - ] - }, - { - "cell_type": "code", - "execution_count": 4, - "id": "60fd4286-486c-4e74-b684-ef1ea7bb4847", - "metadata": { - "tags": [] - }, - "outputs": [ - { - "data": { - "image/png": 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- "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "simus = [simu_zos,simu_so,simu_thetao]\n", - "names = [\"zos\",\"so\",\"thetao\"]\n", - "\n", - "fig, axes = plt.subplots(1,len(simus), figsize=(20,4))\n", - "\n", - "for i, simu in enumerate(simus):\n", - " if simu.z_size is not None : \n", - " im = axes[i].pcolor(simu.simulation[0,0])\n", - " axes[i].set_title(f\"Surface {names[i]}\")\n", - " else:\n", - " im = axes[i].pcolor(simu.simulation[0])\n", - " axes[i].set_title(f\"{names[i]}\")\n", - " plt.colorbar(im, ax=axes[i])\n", - "\n", - "if False:\n", - " fig, axes = plt.subplots(1,len(simus), figsize=(20,4))\n", - "\n", - " for i, simu in enumerate(simus):\n", - " if simu.z_size is not None : \n", - " plt.plot(np.mean(simu.desc[\"ssca\"],axis=(1,2,3)))\n", - " axes[i].set_title(f\"Average ssca - {names[i]}\")\n", - " else:\n", - " plt.plot(np.mean(simu.desc[\"ssca\"],axis=(1,2)))\n", - " axes[i].set_title(f\"Average ssca - {names[i]}\")\n", - " plt.colorbar(im, ax=axes[i])" - ] - }, - { - "cell_type": "markdown", - "id": "d3c01eae-dfec-4a50-b74b-a3bc5264a184", - "metadata": { - "tags": [] - }, - "source": [ - "# **TO TIME SERIES**" - ] - }, - { - "cell_type": "code", - "execution_count": 5, - "id": "c23e4158-60dd-4470-983d-69fb3562c86f", - "metadata": { - "tags": [] - }, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "PCA applied on zos\n", - "PCA applied on so\n", - "PCA applied on thetao\n" - ] - } - ], - "source": [ - "simu_zos.applyPCA()\n", - "print(\"PCA applied on zos\")\n", - "simu_so.applyPCA()\n", - "print(\"PCA applied on so\")\n", - "simu_thetao.applyPCA()\n", - "print(\"PCA applied on thetao\")" - ] - }, - { - "cell_type": "code", - "execution_count": 6, - "id": "26f5ea72-4a5b-402b-922b-61d1357e50b0", - "metadata": { - "tags": [] - }, - "outputs": [ - { - "data": { - "image/png": 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AiuPi4iI/Pz/b1KRJk0LXXbRokVq0aKH58+erffv2+vOf/6z77rtPL730kgMjBgCgdqNoAgAAUIjExEQtXrxYoaGhzg4FlaQ870MBAKAkDh8+rICAAAUHB2vUqFH68ccfC1139+7dGjRokN28wYMHa8+ePbp06VKh22VnZyszM9NuAgAAZUPRBAAAoABnz57VmDFjtGTJEl1zzTXODgeVpDzvQwEAoDg9e/bUihUrtHnzZi1ZskRpaWnq06ePTp48WeD6aWlp8vX1tZvn6+ury5cv67fffiv0OHFxcfL29rZNgYGBFXoeAADUJhRNAAAACjB58mQNHTpUt9xyS7Hr8nRn9RYeHq6kpCRduHBBSUlJFEwAABVmyJAhioiIUOfOnXXLLbdo48aNkqTly5cXus3Vw0bmvXvr6vlXioqKUkZGhm06duxYBURffcXHxyssLEweHh4KCwtTfHy8s0MCAFQjvAgeAADgKmvXrtW+ffuUmJhYovXj4uIUGxtbyVEBAIDqrl69eurcubMOHz5c4HI/Pz+lpaXZzUtPT5eLi4t8fHwK3a/VapXVaq3QWKur+Ph4RURE2IbcTE5OVkREhNatW6fw8HBnhwcAqAboaQIAAHCFY8eO6ZFHHtHKlSvl7u5eom14uhMAAJREdna2Dhw4IH9//wKX9+7dW1u3brWbt2XLFnXv3l2urq6OCLHai42NtRVMJNneXTZz5kwnRwYAqC4omgAAAFxh7969Sk9PV7du3eTi4iIXFxclJCTo1VdflYuLi3JycvJtY7Va1aBBA7sJAADg8ccfV0JCglJSUvTFF1/ojjvuUGZmpsaPHy/p9wcvxo0bZ1v/oYce0tGjRzV16lQdOHBAb775pt544w09/vjjzjqFaufQoUO2gkkeY4wOHjzopIgAANUNRRMAAIArDBgwQMnJyUpKSrJN3bt315gxY5SUlKS6des6O0RUIYyZDgAoyk8//aS7775bISEhCg8Pl5ubmz7//HMFBQVJkk6cOKHU1FTb+sHBwfrwww+1c+dOdenSRc8995xeffVVRUREOOsUqp22bdvme/+LxWJRSEiIkyICAFQ3vNMEAADgCl5eXurUqZPdvHr16snHxyfffNRujJkOACjO2rVri1y+bNmyfPP69u2rffv2VVJENV90dLRd+5z3b3R0tLNDAwBUE/Q0AQAAAMqAMdMBAKh6wsPDtW7dOoWGhsrd3V2hoaGKj4/XiBEjSrQ9vUgBABZz9UCP1VxmZqa8vb2VkZHBeOIAAPx/tI+OxfWuHTw8PJSVlZVvvru7uy5cuOCEiACg6qJtdCyud9lc3Ys07196kQJA9VeatpGeJgAAAEAZMGY6AAA1C71IAQASRRMAAACgTKKjo203UyQxZjoAANXcoUOHdPWALMYYHTx40EkRAQCcgaIJAAAAUAblHTMdAABULfQiBQBIkouzAwAAAACqq/DwcMY4BwCghoiOji7wnSb0IgWA2oWeJgAAAIATxMfHKywsTB4eHgoLC1N8fLyzQwIAoFajFykAQHJC0WTXrl0aPny4AgICZLFYtGHDBrvlxhjFxMQoICBAHh4e6tevn/bv3+/oMAEAAIBKEx8fr4iICCUnJysrK0vJycmKiIigcAIAgJOFh4crKSlJFy5cUFJSUokLJjwMAQA1h8OLJufOnVNYWJgWLFhQ4PK5c+dq3rx5WrBggRITE+Xn56eBAwfqzJkzDo4UAAAAqByxsbG2IT8k2YYAmTlzppMjAwAApcXDEABQszj8nSZDhgzRkCFDClxmjNH8+fP11FNP2caGXr58uXx9fbV69WpNnDgx3zbZ2dnKzs62fc7MzKycwAEAAIAKcujQIVvBJI8xRgcPHnRSRAAAoKyKehiCd58BQPVTpd5pkpKSorS0NA0aNMg2z2q1qm/fvvrss88K3CYuLk7e3t62KTAw0FHhAgAAAGXStm1bWSwWu3kWi0UhISHFbsvwHwAAVC3lfRiCth0AqpYqVTRJS0uTJPn6+trN9/X1tS27WlRUlDIyMmzTsWPHKj1OAAAAoDyio6NtT6FKsj2dGh0dXeR2DP8BAEDVU96HIWjbAaBqqVJFkzxXNzRX/kF5NavVqgYNGthNAAAAQFUWHh6udevWKTQ0VO7u7goNDVV8fHyxL5st77tQeJIVAICKV9aHISTecwYAVVGVKpr4+flJUr5eJenp6fl6nwAAAADVWXh4uJKSknThwgUlJSUVWzCRyjf8B0+yAgBQOcr6MITE0F4AUBVVqaJJcHCw/Pz8tHXrVtu8ixcvKiEhQX369HFiZAAAAIDzlWf4D55kBQCg8pTlYQiJob0AoCpyeNHk7NmzSkpKUlJSkqTfX/6elJSk1NRUWSwWRUZGavbs2Vq/fr2+/fZbTZgwQZ6enho9erSjQwUAAACqlPIM/1HeJ1kBAEDFc+bQXvRSAYCCObxosmfPHnXt2lVdu3aVJE2dOlVdu3bVs88+K0maNm2aIiMjNWnSJHXv3l0///yztmzZIi8vL0eHCgAAAFQp5Rn+ozxPskrcWAEAoDI4a2gveqkAQOEs5urfrtVcZmamvL29lZGRwUvhAQD4/2gfHYvrjaoo7+ZI3hOpef+W5MZMYduuW7dO4eHhDjoDANUZbaNjcb1rh7CwMCUnJ9sVTiwWi0JDQ20jvFTGtgBQHZWmbaxS7zQBAAAAUDnK8yQrw38AAFD1MGwnAFQOiiYAAABALVHWl9Qy/AcAlE1cXJyuu+46eXl5qWnTprr99tuL/d25c+dOWSyWfNP333/voKhRXThz2E4AqMkomgAAAAAoUnlurJS3lwoAVGcJCQmaPHmyPv/8c23dulWXL1/WoEGDdO7cuWK3PXjwoE6cOGGb2rRp44CIUd2U9YGI8vRSAYCajqIJAAAAgCI5c/gPhvYCUJ1t2rRJEyZMUMeOHRUWFqalS5cqNTVVe/fuLXbbpk2bys/PzzbVrVvXARGjtihPLxWJ9hlAzUbRBAAAAECRnDX8B0N7AahpMjIyJEmNGjUqdt2uXbvK399fAwYM0I4dO4pcNzs7W5mZmXYTUJyy9lIpT/tMsQVAdUDRBAAA4AplGXscqA2cMfwHQ3sBqEmMMZo6dapuuOEGderUqdD1/P39tXjxYq1bt07x8fEKCQnRgAEDtGvXrkK3iYuLk7e3t20KDAysjFMAJJW9feZhCADVBUWTKoaKOwAAzlWesccB5FeeXirlfQE9eTWAqmTKlCn65ptvtGbNmiLXCwkJ0QMPPKBrr71WvXv31sKFCzV06FC99NJLhW4TFRWljIwM23Ts2LGKDh+wKWv7XN6HIWjbATiKxVz9W66ay8zMlLe3tzIyMtSgQQNnh1MqeRX3vAYk799169YpPDzc2eEBAKqx6tw+Otuvv/6qpk2bKiEhQTfddFOB62RnZys7O9v2OTMzU4GBgVxvoJzCwsKUnJxsd2PGYrEoNDRUSUlJhW5HXg1UPbU9F/nrX/+qDRs2aNeuXQoODi719s8//7xWrlypAwcOlGj92n69UbnK2j57eHgoKysr33x3d3dduHChyGPStgMor9K0jfQ0qUIYfgAAgKqnJGOPMyQGUDnKOrQXT7ICqCqMMZoyZYri4+O1ffv2MhVMJOmrr76Sv79/BUcHlE1Z2+fyvOeMth2AI1E0qULKM/xAWdBgAABQtJKOPc6QGEDlKOvQXuUd1qs8462TYwO40uTJk7Vy5UqtXr1aXl5eSktLU1pamt1T9VFRURo3bpzt8/z587VhwwYdPnxY+/fvV1RUlNatW6cpU6Y44xSAfMraPpfnPWe07QAciaJJFVKeintp8fItAACKV9Kxx61Wqxo0aGA3AagYZXkBvbOeZOWmDICrvf7668rIyFC/fv3k7+9vm9566y3bOidOnFBqaqrt88WLF/X4448rNDRUN954o/7zn/9o48aNDEGEKqUs7XN53nNG2w7AkXinSRVS2PiMJW1ASqOs40+WR3x8vGJjY3Xo0CG1bdtW0dHRJH0A4CDVuX10lvKMPc71BpyrPHl1ecZbL0+OXd6x2sm1UdXRNjoW1xs1TW1s2wFULN5pUk2Vp+JeWs4YCoyeLQCA6qCixh4H4DzOepK1PDm2s56C5QlYAEB1UNvadgDORU+TWsrRPU2c0bMFAPA/tI8lN2nSJK1evVrvvvuu3R9S3t7e8vDwKNE+uN5A9VWeJ1nLk/M64ylYnoCFI9E2OhbXG/if6ti204MUqHj0NEGxyvPyrbJwdM8WAADKqiRjjwOoucrzJGt5cmxnPAVb3idg6aUCAKgOqlvb7sz3qNC2A/+fqWEyMjKMJJORkeHsUKq8devWmbCwMOPu7m7CwsJMfHx8pR0rNDTUWCwWI8k2WSwWExYWVmnHXLdunQkNDTXu7u4mNDTUrFu3rtKOBQBVHe2jY3G9gdqrrDn2unXrbDnylf+WZPuy5tru7u522+RN7u7uZY63pDk3uXrtQ9voWFxvoOI4um0vzz208rTP5W3bgaquNG0jRRM4RHn+CKzI41XWL3r+6ANQ1dE+OhbXG0BZVKebMs66oZO3Pbl39UPb6Fhcb6BqKEvbXp6HGpzVthtTvvaZth2OUJq2kXeawGHi4+M1c+ZMHTx4UCEhIYqOjq6Ul9xLjn2HCmNBA6gOaB8di+sNwNHKkmuXZ4x3Z7yDpaiYyb2rPtpGx+J6A9WXs96jUt53sJS1faZth6PwThNUSeHh4UpKStKFCxeUlJRUaQUTybHvUCnvWNAAAABAeZUl1y7PGO/OeAeL5Lz3sDA+PADAUZz1jrTybFue9rk829I+o9JUTOeWqoMuqDDGse9QKU+3ybJydLdFukkC1R/to2NxvQHUdM54B4sxznkPizPHh69JeThto2NxvYHqzRnvSCvPtuVpn8u6Le0zSot3mpAY1HqOfIeKo19y74z3tTj6eBSEgIpH++hYXG8AtUF1eul9ebatru9+qWpoGx2L6w3UXmVtn8uzLe2zYwo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EInh4eDTa/jt37rD/LygoQGxsLNq2bdvo8xKaHxEREfjggw/w+eef1zmpN3UePHiA06dPw9zcnG1keOzYMeMaRSAQCAQCgVAD3t7e2Lx5MwCwAR8E/cOIJjY2NtWeMzMzw59//gkLCwucP38e27dvN7R5hGZIU/eLAMQ3oguIaGIAxGIx7t+/j7/++guXLl0ytjkEAoHQJCktLUVERAQiIiIAAImJiYiIiEBycjIA4OTJk/juu+8QERGBly9f4o8//oBKpUJgYCAAwMfHB3fv3kVSUhJyc3NrjGTw8fHB3LlzsWDBAhw7dgyJiYm4evUqDh48CABYsmQJUlJSsHz5ckRHR+P48eP4+OOPsXr1ap005f70009x6dIlPHv2DPPmzYOjoyMmTJjQ6PMSmh9Dhw6Fv78/SkpKsGfPHmOb02C6d++Oa9eu4eeff8ann36KjRs3VmseSCAQCAQCgWAquLu7AwDS09ONbEnLgSnPVVuEfNu2bfHFF18AAP755x81Jy6B0BwhvhHDQEQTAxASEoIlS5YAqKizKJVKjWwRgUAgND3u37+PLl26oEuXLgCA1atXo0uXLvjoo48AVEyijxw5giFDhqBdu3b48ccfsW/fPgQHBwMA3n33XXC5XAQFBcHJyYmdUFRlx44dmDx5MpYsWYK2bdvijTfeQFlZGQDAw8MDp0+fxr1799CpUye89dZbWLhwIVtLt7Fs3rwZK1euRLdu3ZCRkYETJ07A3NxcJ+cmNC84HA6bwbp9+/YmvTjs06cP5s6di+DgYKxduxbt2rUztkkEAoFAIBAI1VAqlRg/fjzS0tJw5swZY5vTYqgr04Rh6dKl2LdvH06dOkXKcxGaPcQ3YhgoWo+rbB8fH7x8+bLa9iVLluCHH36otv3q1asYPHhwte1RUVEap+AUFxfDxsYGRUVFsLa21t5oPVFUVIR27dohIyMDH330ET755BNjm0QgEFooUqkUiYmJ8PX1rZZaSjAOzPhXUFCgcY3RmqjrszXV8bG5Yoj3Oz8/Hx4eHpBKpbh58yb69Omjl+vog2+++QavvPIKgoKCjG0KgUAgEAwEmYsYFvJ+6x5/f3/weDwcOXKEBHkYkBMnTmD79u3o27cv/vvf/xrbHEIzgfhFTBN9+0a0GRv1mmkSHh6OjIwM9nHhwgUAwJQpU+o8LiYmRu04f39/fZppEGxsbLB161YAwMaNG9l0JgKBQCAQCISGYG9vjxkzZgBAk6rffOrUKbzzzjvo0aNHtdIWMpkMe/fuxeuvv65RM0ACgUAgEAgEQ1BaWooXL14gOjoazs7OxjanRTFu3DicPXuWCCYEAsGg6FU0cXJygqurK/s4efIk/Pz8MHDgwDqPc3Z2VjuOy+Xq00yDMXnyZMydOxcKhQIzZszAqVOnjG0SgUAgEAgtCh8fH1AUVe2xdOlSAMC8efOqPderVy8jW107TPnPQ4cOIScnx8jW1E9GRgbmzZsHAHjzzTfZuuAMFEVh8eLF2LlzJ+7evWsECwkEAoFAIBCqEx0dDaDCX/Xtt99i5syZSE1NNbJVhKp07twZNjY2SEhIMLYpBAKhiWOwnibl5eX466+/sGDBgnrrC3bp0gVubm4YOnQorly5Uue+MpkMxcXFag9ThaIo7Ny5EwsXLkT37t3Rv39/Y5tEIBAIBBNg0KBBoGm6UemnBM3QJAv2lVdeUdvn9OnTxjK3Xrp3745+/fph+vTpJt8zTaVSYd68ecjNzUWnTp2wefPmavuYm5tj9OjRAIDjx48b2kQCgUAgEAiEGnn+/DkAIDg4GPv378e+ffuQmJhoZKtaBtp0FSgsLERxcTGysrL0aBGBQNAXpuQbMZhocuzYMRQWFrLRhTXh5uaGn3/+GYcPH8aRI0cQGBiIoUOH4tq1a7Ues2nTJtjY2LAPT09PPVivO7hcLn7++WdcunSJ1BUlEAgEAsHAaJIFy+fz1faxt7c3osX1ExYWht9//93k50BbtmzB+fPnIRAIsHfvXvD5/Br3Gz9+PAAimhAIBAKBQDAdIiMjAQBBQUFspmzVMqME/TBu3DhYW1tj37599e7r6uoKAEQ0IRAIjYZnqAvt3LkTo0aNqlaGoTKBgYEIDAxk/+7duzdSUlLw1VdfYcCAATUes3btWqxevZr9u7i42OSdBhwOB0KhkP37888/h0KhwLp164xoFYFAIBAILQsmC3b16tVqWbBXr16Fs7MzbG1tMXDgQHz22Wf11q6WyWSQyWTs34bMfOVwDBYD02AePXqE//znPwCAb7/9ts4G8KNGjYKZmRmio6MRGxuLgIAAQ5lJIBAIBAKBUCOMaBIcHIzc3FwAFWVHCfqnoKAAJSUlMDc3r3dfFxcXAEQ0IRAIjccgq+yXL1/i4sWLeP3117U+tlevXoiLi6v1eT6fD2tra7VHU+LevXv4z3/+gw8//BDr1q3TKu2QQCAQCARCw6kpC3bUqFHYs2cPLl++jK+//hrh4eEYMmSImiBSE6aQ+fr48WNs27bN4NfVhO+//x5yuRzjx4/Hm2++Wee+NjY2GDx4MACSbUIgEAgEAsE0YMpzkUwTw1NUVASgYo5YH0Q0IRAIusIgmSa7du2Cs7MzQkNDtT720aNHcHNz04NVpkFISAi+/PJLvPfee9i4cSMkEgm+/vrrevu+EAgEAoFAaBw1ZcFOmzaN/X/79u3RvXt3eHt749SpU5g4cWKt5zJ25mtKSgo6d+4MiqIQGhoKX19fg1x3165dCA8PV+stV1RUxP4/KSkJVlZW+Pnnn9GuXTvMnz9foznO+PHjcf78eRw/fhzvvfeeAV4JgUAgEAgEQs2oVCr069cPNjY2CAoKQnh4OAAimhiKwsJCANCoxwERTQgEgq7Qu2iiUqmwa9cuzJ07Fzye+uXWrl2LtLQ0/PHHHwAqal37+PggODiYLZlx+PBhHD58WN9mGpV3330XAoEAy5Ytw7fffguJRIIffvihSZTbIBAIBAKhKcJkwR45cqTO/dzc3ODt7V1n1itQkflaW48OQ+Dp6Ynhw4fjwoUL+Omnn2pssq5rCgoK8PnnnyMmJqbWfYqKimBlZQUej6eV+DFu3DgsW7YMCoUC5eXlGpVjIBAIBAKBQNAHHA6H9VsBYAN7iWhiGEimCYFAMAZ6F00uXryI5ORkLFiwoNpzGRkZSE5OZv8uLy/Hu+++i7S0NAgEAgQHB+PUqVMYPXq0vs00OkuXLoVAIMDrr7+OH3/8Efn5+fjjjz+M6oAhEAgEAqG5omkWbF5eHlJSUppE1uuiRYtw4cIF7N27Fxs3btR78IWdnR0iIiLw0UcfwcXFhS2TamNjw/7fycmpQedu1aoVMjMz6+0lQyAQCAQCgWBomCxl0tNE/yiVSpSUlADQLNOkdevW6Nq1q8GyrgkEQvOFoptZE43i4mLY2NigqKioyfU3AYB9+/Zh9uzZoGkaEomEjaz89NNPERkZCR8fH7WHv78/uFyuka0mEAhNCalUisTERPj6+sLCwsLY5hidpKQk+Pr64tGjR+jcubOxzWkUdX22TX181CUqlQq+vr6YMWOGWkZGaWkp1q9fj0mTJsHNzQ1JSUn44IMPkJycjKioKIhEIo2vYYz3WyKRwNnZGaWlpbh9+zZ69eplkOs2Z2JiYnDz5k2EhoaykYsEAoFAaBhkLlLBjh07sGPHDiQlJQGoaCz+0UcfYdSoUQAAmqbxySef4Oeff0ZBQQF69uyJH374AcHBwVpdRx/v9+3btyGTyTBo0CCdnK+pUFBQAGtra9b3IpVKUVBQAGdnZ+KP0TMFBQWwt7cHAMhkMpJ9TNAZxC9SnZbgG9FmbCT1n0yMGTNm4NixY3jllVfUBoMLFy7gwIED+Pzzz7F48WKMGjUK7dq1Q+fOnZGYmGhEiwkEAsEwbNq0CT169IBIJIKzszMmTJhQZ1kgAqE2asuC5XK5ePr0KcaPH4+AgADMnTsXAQEBuH37tlaCibEQCAQYN24cAODgwYN6u8758+fx5ZdfQqFQ6O0alSkuLoZMJjPItSqTlZWFv//+GykpKbh9+7bBr9/SkUqlUKlUxjaDQCAQdE6rVq2wefNm3L9/H/fv38eQIUMwfvx4ttH4F198gW+++Qbbtm1DeHg4XF1dMXz4cDba3likpKTg/PnzCAsLw8OHD41qi6GZM2cOrKyssG/fPgCAhYUF3NzciGBiAJRKJUaMGIH+/fsTwYRA+H+Ib8QwENHEBBkzZgxOnTqltu3DDz/EN998gxUrVmDcuHHo0KEDBAIBnj17hhEjRhjMcUEgEAjGIiwsDEuXLsWdO3dw4cIFKBQKjBgxAmVlZcY2jdDEGDFiBGiaRkBAgNp2gUCAc+fOITs7G+Xl5Xj58iV2795t0IbujWXKlCkAgL///lsvDueSkhK88cYbWLNmDbZs2aLz81fljTfegKOjI06fPq33a1XlxYsX7PwqLi6OOPANSF5eHhITE1FQUGBsUwgEAkHnjB07FqNHj0ZAQAACAgLw2WefQSgU4s6dO6BpGlu2bMG6deswceJEtG/fHr///jvEYjH27t1b53llMhmKi4vVHrrE09MT/fv3BwCcPHmy3n5vzYnIyEjIZLImUa61ueHo6Ihz587h2rVrxjaFQDAZiG/EMBDRpIkwcuRIvP3229i6dSuOHz+OJ0+eIC4uDiEhIdi2bRt4PL23pyEQCASjcvbsWcybNw/BwcHo1KkTdu3aheTkZDx48IDdx8fHBxs3bsSCBQsgEong5eWFn3/+We089+7dQ5cuXWBhYYHu3bvj0aNH9V5bJpNhzZo18PT0BJ/Ph7+/P3bu3Mk+HxYWhpCQEPD5fLi5ueE///mPmpg9aNAgLF++HKtWrYKdnR1cXFzw888/o6ysDPPnz4dIJIKfnx/OnDnDHnP16lVQFIVTp06hU6dOsLCwQM+ePfH06dPGvI2EZs7IkSMhFAohlUrV+sbpirVr1yI5ORk+Pj5YvHixzs9fFaFQCLlcjuPHj+v9WlXp27cvpk6dCgsLC4jFYqSlpRnchpaISqVCTk4OaJqGmZmZsc0hEAgEvaJUKrF//36UlZWhd+/eSExMRGZmJkaMGMHuw+fzMXDgQNy6davOc23atAk2NjbsQx9BH4MHD0anTp1A0zQOHTrUrMZGlUqFly9fIjc3V227WCxmq3tULpH2xRdfYMaMGYiIiDCkmQQN6NixI6ytrUlVFkKzhfhGDOMbIaJJE8bDwwO3b9/GyJEj2W2JiYloZm1qCASCASkvL6/1UTWjra595XJ5vfs2lqKiIgBga9wyfP311+yAv2TJEixevBjR0dEAgLKyMowZMwaBgYF48OAB1q9fj3fffbfea82ZMwf79+/Hd999h6ioKPz4448QCoUAgLS0NIwePRo9evTA48ePsWPHDuzcuRMbNmxQO8fvv/8OR0dH3Lt3D8uXL8fixYsxZcoU9OnTBw8fPsTIkSMxe/ZsiMVitePee+89fPXVVwgPD4ezszPGjRtX7f0lEBgEAgHu3LmD9PR0+Pj46PTc169fxw8//AAA+OWXX2BlZaXT89fE+PHjAQD//POPwbJqK8+j2rVrhzZt2gAASXk3EPn5+VAoFOByuex9lkAgEJobT58+hVAoBJ/Px1tvvYWjR48iKCgImZmZAFCtj5aLiwv7XG2sXbsWRUVF7CMlJUXndlMUhbFjx8LPzw9yuRx79+5Ffn6+zq9jDIqLi1FSUlLtfY6OjgZN03B0dISTkxO7/cyZM9i/fz+7ziCYDkVFRSgpKUFWVpaxTSE0UZqSXwQgvhF9QdITmjgczr+6V1xcHHr16oWRI0fit99+I42MCASC1mzatKnW5/z9/TFz5kz276+++qrWAcrb2xvz5s1j/966dWu1Ae/jjz9usJ00TWP16tXo168f2rdvr/bc6NGjsWTJEgDA+++/j2+//RZXr15F27ZtsWfPHiiVSvz222+wtLREcHAwUlNT64yYj42NxcGDB3HhwgUMGzYMANC6dWv2+e3bt8PT0xPbtm0DRVFo27Yt0tPT8f777+Ojjz5i79OdOnXChx9+CKBiUbt582Y4OjrijTfeAAB89NFH2LFjB548eaLWwPvjjz/G8OHDAVRMLlq1aoWjR49i6tSpDX7/CM0bbRvFaoJEIsHChQsBAAsXLmR/C/qmX79+sLe3R35+Pm7evImBAwfq9XoxMTG4desWJk+ezPaxCQgIwLNnzxAbG2uw191SUSqVyMnJAQA4OzurzXMJBAKhOREYGIiIiAgUFhbi8OHDmDt3LsLCwtjnKYpS25+m6WrbqsLn88Hn8/Vib2W4XC6mTJmC3bt3IzMzE3v27MGiRYuafL+JysEgld/vyMhIANXnV0yprvT0dANZ2DL5888/sWzZMowdOxZ//fWXRse4uroiOTmZiCaEBtNU/CIA8Y3o0zdCViLNiEePHqG4uBj79u3DkCFDkJ2dbWyTCAQCQS8sW7YMT548YZsxVqZjx47s/ymKgqurK3s/jIqKQqdOnWBpacnu07t37zqvFRERAS6XW6uzNioqCr1791ZbyPbt2xelpaVITU2t0S4ulwsHBwd06NCB3cZEFFa9d1e2z97eHoGBgYiKiqrTZgIBqCgzUVpaqpNzffLJJ4iLi4O7uzu++uornZxTE3g8HkJDQwFA7yW68vLycPToUSQnJ+PevXvs9jZt2qB3794YPXo0yebVM3l5eVAqlTA3N0dpaSliYmKqLSwJBAKhOWBubo42bdqge/fu2LRpEzp16oStW7fC1dUVAKplO2RnZ1fLPjEmfD4fM2fOhK2tLUJCQpq8YAJAreR55Ujy58+fAwCCgoLU9nd3dwdARBN9U1BQgOLiYq0i8pnfChFNCC0B4hvRn2+EZJo0I6ZOnQpHR0dMmjQJt2/fRs+ePXHy5Em9RJwSCITmydq1a2t9rmrEb12pm1Uj4VauXNk4wyqxfPlynDhxAteuXUOrVq2qPV+1Bj5FUWwD54Y4PAUCQZ3P1xT5x1yn8vaa7Kq8jdlXk2bT9UUaEgh79uzB+++/jylTpuDbb79t1LlycnLw3XffAQB27NgBW1tbHVioOePHj8eff/6J48eP4+uvv9bL918mk+HAgQOQyWTw9PTEoEGD2OcEAoFabXmCflAqlWwdeWdnZxQUFEAul0Mmk6kt5ggEAqE5QtM0ZDIZfH194erqigsXLqBLly4AKsq5hIWF4fPPPzeyleqIRCIsWbKk2fSfoigKPB4PCoUCCoWCfV21ZZoQ0cQwMGWHtJl/EtGE0Fiagl8EIL6RqufVNSTTpJkxZMgQ3LlzB35+fkhKSkKfPn1w7tw5Y5tFIBCaCObm5rU+Kkdf1bdv1UGwpn20haZpLFu2DEeOHMHly5fh6+ur9TmCgoLw+PFjSCQSdtudO3fqPKZDhw5QqVRqJROqnvPWrVtqk45bt25BJBLBw8NDaxurUtm+goICxMbGom3bto0+L6F5IxKJkJaWhkOHDmk02awLJycnhIeH45NPPsG4ceN0ZKHmjBw5Enw+HwkJCWy0py6haRonTpxATk4OhEIhpkyZAi6Xq/PrEOomNzcXKpUKfD4fNjY27Dihq1rPBAKBYCp88MEHuH79OpKSkvD06VOsW7cOV69exWuvvQaKorBq1Sps3LgRR48exbNnzzBv3jxYWlqqlYMxFSrP+SUSCe7cudNkszIzMjLYDJPKmSbDhg3DpEmT0KNHD7X9GdEkIyPDcEa2QBjRxMbGRuNjiGhCaCym7BcBiG8EMIxvhIgmzZDAwEDcvXsXAwYMQHFxMUaPHo3Lly8b2ywCgUBoFEuXLsVff/2FvXv3QiQSITMzE5mZmWqDfH3MnDkTHA4HCxcuRGRkJE6fPl1vqSEfHx/MnTsXCxYswLFjx5CYmIirV6/i4MGDAIAlS5YgJSUFy5cvR3R0NI4fP46PP/4Yq1ev1kk9/k8//RSXLl1iF82Ojo6YMGFCo89LaN6MGDGCFU7qm/xqQnBwMD766CMdWKY9QqEQa9aswffff8+WLdElt27dQmRkJDgcDqZOncr2MqkMTdOIj4/H6dOnIZVKdW4DoSKC1MbGBi4uLqAoiq3LT0QTAoHQ3MjKysLs2bMRGBiIoUOH4u7duzh79ixbp33NmjVYtWoVlixZgu7duyMtLQ3nz5+vcXwyFZRKJXbv3o1z587hxo0bxjanQZSVlbH/r9yfYPny5fj7778REhKitj/JNDEMhYWFABqWaVK1zB2B0FwgvhHD+EaIaNJMcXBwwPnz57FgwQJ06tQJ/fv3N7ZJBAKB0Ch27NiBoqIiDBo0CG5ubuzjwIEDGp9DKBTin3/+QWRkJLp06YJ169ZpVOpgx44dmDx5MpYsWYK2bdvijTfeYBdWHh4eOH36NO7du4dOnTrhrbfewsKFC9nGZo1l8+bNWLlyJbp164aMjAycOHGiWdSNJugXCwsLjB8/HgDYSay2REdH4/79+7o0q8F8+umnWLZsGRwdHXV63oSEBFy6dAkA8Morr8DT07PG/SiKwpkzZxAeHo4XL17o1AZCBXw+H56enrC2tgYA9j4nk8mMaRaBQCDonJ07dyIpKQkymQzZ2dm4ePEiK5gAFWPO+vXrkZGRAalUirCwsGrNfU0NLpeLrl27AgAuX76Mp0+fGtki7akslFTONKkNphE8yWbQLw3JNPHz80P37t3h5+enL7MIBKNCfCOG8Y1QdFPNnayF4uJi2NjYoKioiF10tXRKSkrYqJTy8nL88ssvePPNN5tN7VECgaAdUqkUiYmJ8PX1hYWFhbHNIdTC1atXMXjwYBQUFGgcWVXXZ0vGR8NiCu/3iRMnMH78eHh4eCA5OVmr6B6lUom+ffsiPDwcu3btwpw5c/RoqfHIzc3FgQMH0KpVK4wbN67Omrjnz5/H7du30aFDB0ycONGAVjZvaqp9DFTcz168eAEOh4N27dqRXk4EQjPAFMbGloQx3m9mrHRwcMCyZcsMck1doFKp2N4l/v7+MDc3B0VRSE9Ph1wuh5eXV7VxSKFQICcnB87OzqSspx4ZMWIELly4gD///BOzZs0ytjmEZgTxizQddOkb0WZsJJkmLYDKabz/+9//sGzZMvTq1QvPnj0zolUEAoFAIBD0yYgRI2BtbY20tDTcvn1bq2O/++473L17F0KhEEOGDNGThdqRmZmJn3/+GadPn9bZOR0dHfH6669j9OjR9TrlAwMDAQBxcXGN7hND+JeMjAykpKRUK8PFRI2pVCoolUpjmEYgEAgELRkwYAAoikJeXh5bVqkpwGSWUBTFCiYAsG3bNvj4+NTYvJnH48HNzY0IJnqmbdu2CAkJ0Uk/BAKBQNAGIpq0MIKDg2FnZ4eHDx+iW7du2LRpU72pp4WFhQgLC8PWrVuxe/dutbRVAoFAIBAIpomFhQXbuP3QoUMaHxcfH49169YBAL788ku0atVKL/Zpy++//45Fixbhu+++0+l5+Xy+Rtm3np6eEAgEkEqlSElJ0akNLZXy8nLk5+ejqKio2vySw+HAwsICAoGAiCYEAoHQRLCwsGDnDfHx8Ua2RnOYMcjMzEwtiOL58+cAgICAAKPYRfg3kGfw4MHGNoVAILQwiGjSwpg+fTqeP3+OMWPGoLy8HB988AH69u2LqKgotf1+++03vPrqq/D19YWdnR0GDRqEVatWYf78+ejXrx9yc3ON9AoIBAKhZTBo0CDQNK1V00MCoSrz5s3DihUr8Nprr2m0v0qlwuuvvw6JRIIhQ4bgjTfe0LOFmsP0aLl06RL69++PPn36ICQkBF27dkV2dja734YNG9C2bVscO3as1nOlp6fj8uXLWjl0OBwO/P39AQAxMTENexEENZjPTSgUwsrKqtrzbdq0gZ+fH9sUnkAgEAimD9NHwpREk8zMTFy4cKHWJsmVhfv09HS2uTsjmgQFBdV43I4dOzB9+nRcuHBBxxYTGkv79u0hFAqRlJRkbFMIBEIjMZZvhIgmLRA3NzecOHECu3fvho2NDe7du4egoCCUlJSw+9y7dw/Hjh1jBxhvb2+MHTsWtra2EAgEsLOzM5L1BAKBQCAQNGXo0KHYunUrevToodH+v/zyC65evQpLS0v88ssvJtVHom3btujYsSMUCgVu3LiB27dvIzw8HI8ePYJUKmX3e/LkCWJiYrBx48Zaz5WQkIDr168jIiJCKxuYSNPY2NgGvQbCv0ilUrZ0i7Ozs3GNIRAIBILO8PPzg52dHezt7Y1tCgAgMTERu3btwq1btxAWFlbjPiqVChRFgcfjIT8/HwUFBRCLxUhISABQUbGjJm7evIkDBw5oPZ8g6J+SkhKUlZUhKyvL2KYQCIQmCs/YBhCMA0VRmDt3LoYOHYrXX38d586dQ2xsLLp16wYAmDp1Ktq2bYvOnTujU6dOrEjClKNg6naKxWKUlJTAxcVFo+uWlJTgjz/+wM6dO+Ht7Y1Dhw6BxyNfQwKBQCAQjE1GRgbee+89AMBnn32G1q1bG9mi6pw9exbXr18Hl8sFj8dj/3VycmL3eeedd3Do0CGEh4cjIyMDbm5u1c7DZDho66z38/MDh8OBQqGARCKBQCBo3AtqwTCfgUgkgqWlZZ371tYsnlABEzlNvo8EAsEU8PDwwIoVK4xtBgAgOjoaf//9N1vm8fHjxxg6dGi1spz29vaws7ODSqVCVFQUaJpGTEwMaJqGvb19rfMFd3d3ABVzKILukUqlcHFxgY2NDSIjIyEUCjU+1sXFBcnJyUQ0IRAIDYZ4q1s4rVq1wpkzZ3Dv3j14eXmx24cMGVJj41dPT0+1v9esWYMDBw7g119/Zctm1ERsbCy2bduG3bt3sxktjx49wi+//ILFixfr6NUQCAQCgUCoilKpRFhYGM6cOYPPP/8cHE7NicYuLi74/PPPcfz4cSxfvtzAVmqGm5sbpk6dWuc+PXv2RI8ePRAeHo7Tp09j4cKF1fZhFtCaBn0wWFhYYNmyZbC1tSVO/EYgkUhQXFwMoO7PQCwWIzU1FVwuly33QlCntLQUO3bsAADMnz8fjo6ORraIQCC0dExpfMzPz4dSqUTbtm2RkZGBoqIiREZGolOnTtX2pSgKXC4XHA4HKpWKLS8WHBxc62tiRBOmnBdBtxQVFaG4uBglJSX1BlhUhZlfENGEQCA0FFKeiwCKotCzZ0+1KE1NkEgkuHnzJnJzczFhwgS8/vrraiW+GC5evIjAwEB8//33KCkpQWBgIGbOnAkAOHz4MGia1snrIBAIBAKBUB2FQoFXX30VX331FW7fvl3rfhwOB4sXL8aZM2fYjNKmypgxYwAA//zzT7XnlEol25tNW9EEAOzs7EzKIdQUYd5/GxsbWFhY1Lofh8NBeXk5ZDIZmS/WwqVLlyAWiyEWi7F3716UlZUZ2yQCgUAAUDHeZmZmGtWGPn36YOrUqZgyZQq6du0KAHjw4EGdxzBZKGlpaQBq72cCENFE3zBlPEUiUa1BP7VBRBMCgdBYiGhCaDACgQB37tzBe++9B4qisHPnTnTu3Bnnz59Xm4j0798fbm5uGDt2LM6fP4/IyEj8/vvv+Ouvv3Du3DnieCAQCAQCQY/w+Xw2G/TgwYPVns/Ly0NpaSn7d3MYl8eOHQsAuHDhglq/E6DCYa9SqcDn82Ftbd3gayiVSrbcB0E73N3d4ezsXG95NHNzcwAVteYVCoUhTGtSFBQUsHX0hUIhCgoKsH//frWGxgQCgWAMJBIJvvzyS/z888+1Nl/XBzRNIzw8XG3sb9euHTgcDrp06YL+/ftj4sSJ1Y5LSkpCcnIyysvL2fLhISEheP/999lAjJogool+KSoqAoAGNX8mogmBQGgsRDQhNAo+n48vvvgCV65cgZeXFxISEjBy5EhMmTKFdSTw+XzExsbixIkTGD58ODgcDng8Hl577bUmH8lKIBAIBEJTYMqUKQCAv//+GyqVSu25RYsWoX379rh586YxTNMLnTt3hoeHB8RiMa5cuaL2XOXSXA0ViC5duoSvvvoKkZGRjba1JcLlcuHs7Aw+n1/nfhwOh434LS8vN4RpTQo7OzvMmzcPgwYNwty5c2FhYYHU1FScOHHC2KY1eZRKJcluIhAagUAggEgkAk3TSExMNMg1aZrGmTNncPr0aezfv7/afEckEmHIkCHVHPA0TaO0tBTFxcWsrwIA/P39sXnzZo1FE3LP0D2MaGJjY6P1sYxoYuxsJ0LTgPx+CTVBRBOCThg4cCCePHmCWbNmAaiIdqscbVFXwy6JRIKdO3eSmxSBQDAYu3fvblDEEoHQVBkxYgSsra2Rnp6OW7dusdv//vtvHD58GGlpabCysjKihbqFoiisWbMG33zzDTp27Kj2XEObwFeGpmlIpVLExsY2yk5C/TDZJkQ0qRlvb28MHDgQjo6OmD59OiwtLdG5c2djm9WkEYvFiI6ORmpqqrFNIRCaNEwvqhcvXuj9WkqlEkePHkV4eDiAij4kmpZzYrLzmJ4mjGiiSdaem5sbgIoxqqZS5YTGwZTnasi6zc/PDz169ECbNm10axSh2ZGSkoKnT5+22Axy4hupHSKaEHSGjY0N/vzzT+Tm5uLx48fVmsbXhEKhQPfu3fH666/jwIEDBrCSQCA0VXbs2IGOHTvC2toa1tbW6N27N86cOWNsswiEJkHlEl2HDh0CUFGWa+nSpQCA//znP83O0bpixQq8/fbb8PDwUNs+ZMgQLFu2DH369GnwuQMDAwEAcXFxLXaB1RAUCgVevnyJzMxMjYNlmGwUmUymT9OaFDKZjI2+rYy3tzdWrlzJOioJ2kPTNDIyMkDTNIqKigxaVohAaG4w96KEhAS9BkjK5XIcPHgQT58+BYfDwcSJE9GjR49a909MTMTevXvx+PFjAGDLP/J4PFAUBScnJzg6OiIqKqre0k4CgQCZmZmQyWSNKvlJqJnGZJqEhobi3r172LRpk67NIjQRysvLERsbi5ycnFr3UalUKCoqQnl5eZPqC0d8I4ZBr6LJ+vXrQVGU2sPV1bXOY8LCwtCtWzdYWFigdevW+PHHH/VpIkEPODg4aFzugsfjYfr06QCAd999Vy83KZqm8fLlS52fl0AgGJZWrVph8+bNuH//Pu7fv48hQ4Zg/PjxeP78ea3HkMhkAuFfpk6dCuDfEl2rVq1CdnY2goKC8OGHHxrZOsPB4XDg4OAAOzu7Bp/Dw8MDlpaWkMlkSE5O1qF1zRuZTIaSkhIUFRVpPFckmSbVCQsLw7Zt22psZsy8X0CFMBofH29I05o8UqlUTSipy9FCIBDqxsfHB1wuF0VFRcjLy9PLNXJzc/Hnn38iNjYWPB4P06ZNQ4cOHeo8Ji0tDXFxcWxWCpNRwpSD5PF4uHz5MoYOHYrJkyfXa4OLiwspO64nbG1tERISgqCgIGObQmiCZGRkoLy8vE7xs/L8UtPsNFOA+EYMg96/EcHBwcjIyGAfT58+rXXfxMREjB49Gv3798ejR4/wwQcfYMWKFTh8+LC+zSQYkffeew++vr5IS0vTSxTAwYMH4e/vTyIMCIQmztixYzF69GgEBAQgICAAn332GYRCIe7cucPu4+Pjgw0bNmDevHmwsbHBG2+8AaAi5dTLywuWlpZ49dVXNVq4paamYvr06bC3t4eVlRW6d++Ou3fvss/v2LEDfn5+MDc3R2BgIP7880+14ymKwk8//YQxY8bA0tIS7dq1w+3bt/HixQsMGjQIVlZW6N27t5pDa/369ejcuTN++ukneHp6wtLSElOmTGFT0wmNp76ADpqmsX79eri7u0MgEGDQoEF1Tj6bEsOHD4e1tTXMzc3x008/4a+//gKHw8Fvv/1Wb2+JpkpOTg527dql87kkh8NBQEAAAJASXVrAZIto832zsLCAQCBott9RbcnNzcXdu3ehUCjqjLzNycnBzp07ceDAAWRkZBjQwqaNQCCAv78/W76vuLhYraE0gUDQHDMzM3h5eQGA3gTcf/75BykpKeDz+Zg1axY7NtdFly5dwOFwkJaWhszMzGqiCQB27kec9cZl8uTJuHv3Lj7//PNGnYeUgm+ZiMVi9v+1fQeYMd7e3r7OtgKmBvGNGAa9iyY8Hg+urq7sw8nJqdZ9f/zxR3h5eWHLli1o164dXn/9dSxYsABfffWVvs0kGBELCwt88803AIAvv/xSpxOq3NxcLF++HHK5nF2oa1KblEBoqahUqjofuty3MSiVSuzfvx9lZWXo3bu32nNffvkl2rdvjwcPHuC///0v7t69iwULFmDJkiWIiIjA4MGDsWHDhjrPX1paioEDByI9PR0nTpzA48ePsWbNGtbuo0ePYuXKlXjnnXfw7NkzLFq0CPPnz6/WcPp///sf5syZg4iICLRt2xYzZ87EokWLsHbtWty/fx8AsGzZMrVjXrx4gYMHD+Kff/7B2bNnERERwZZQIuiGugI6vvjiC3zzzTfYtm0bwsPD4erqiuHDhzeLOtV8Ph+PHz9GREQEPvvsMwDA22+/jZ49exrZMv1x9OhRtblkWloaDh8+XGOEvrYwjpmYmBiyGNeQhogmQqEQfn5+bEPXlgxN0zh79ixUKhUCAgLqrNNub28PNzc3yOVy7N27t8ZyXoSa4fP5cHZ2ZkvtkGwTAqHhMCW6qq7xf/zxRyxatEjr0os0TautI0aOHInAwEAsWrQI3t7eGp3DysoK7dq1AwDcv3+/mmiiUCjg6+uLjRs3Ijg4uN7z7d27F9OmTcPevXu1ei0E/RMUFAQrKytSeaQFolQq2RK6VlZWtc7VmXtQVcGkqfhFmNdKfCP6gafvC8TFxcHd3R18Ph89e/bExo0b0bp16xr3vX37NkaMGKG2beTIkdi5cyfkcrma8s8gk8nUBtri4mLdvgCCQRg/fjyGDx+OCxcuYPXq1Th+/LhOzrtq1Srk5OSgffv2+OCDDxAVFYVp06Zh3bp1mDZtmk6uQSA0JyIjI2t9TigUwsfHh/07Kiqq1smHpaWl2r0+JiamWt3/9u3ba23f06dP0bt3b0ilUgiFQhw9erRaBNiQIUPw7rvvsn9/9NFHGDlyJP7zn/8AqHB03rp1C2fPnq31Onv37kVOTg7Cw8Nhb28PAGrOqa+++grz5s3DkiVLAACrV6/GnTt38NVXX2Hw4MHsfvPnz2dLIr3//vvo3bs3/vvf/2LkyJEAgJUrV2L+/Plq15ZKpfj999/RqlUrAMD333+P0NBQfP311/WWuCRoBhPQURWaprFlyxasW7cOEydOBAD8/vvvcHFxwd69e7Fo0SJDm6pzfHx8kJubi5CQEDx9+hSffvqpsU3SK6GhoQCAu3fvIjs7G6mpqXj27Bnkcjm6devWqHP7+fmBy+WioKAAubm5dQYGESpoiGhC+JfY2FjEx8eDy+Wy40htcLlcTJkyBb/99htycnKwd+9ezJ8/HxYWFgaytmlRXl4OpVIJgUDAbnNycoJcLm9QLX0CgVBB27ZtoVAo4O/vz26TSCRYvHgxgIqsj7feekujc+Xl5eHMmTNwdXXFsGHDAADu7u5suW9t6NatG54/f46nT5+ic+fOoCiK9TdRFIVevXoBQL09TQDgyZMnOHjwIFxdXTFz5kytbSHoj9LSUojFYmRlZamtYwnNn9LSUgAVc05fX98a91GpVJDJZBAKhdVEE1P3iwAtxzfyyy+/wMvLCzwez+C+Eb1mmvTs2RN//PEHzp07h19++QWZmZno06dPrak/mZmZ1aLIXFxcoFAokJubW+MxmzZtgo2NDfvQpPk4wfSgKApbt24Fj8fDiRMn6vzBasqpU6ewZ88ecDgc7Ny5E+bm5ti/fz+ePn2KN998EwkJCTqwnEAgGJLAwEBERETgzp07WLx4MebOnVttQtO9e3e1v6OioqpFXFT9uyoRERHo0qULOymoSlRUFPr27au2rW/fvoiKilLb1rFjR/b/zPhWuc6yi4sLpFKpmuDv5eXFCiaMrSqVCjExMXXaTNAcJqDD19cX06dPZ8eDxMREZGZmqgVw8Pl8DBw4ELdu3arznDKZDMXFxWoPU8XR0RGHDx/G7du3YWlpaWxz9IqHhwe6du0KmqZx+vRp1vmhi6wFc3NzdOvWDQMGDCAigIY0RjSpGl3c0lAoFDh37hyAinGhtvGpMhYWFnjttdcgFAqRnZ2NQ4cOVVuoEyrIyspCfHy82jpVIBCgdevWpLkzgdAIHBwcMHDgQLi7u7Pbbty4wf5///799Z5DLpfj0qVL2L59O+Lj4xEeHt7osnk+Pj6wt7dn+x0EBQWx99Xy8nK2t1FgYGC952JeW3p6eqNsMgRKpVKtb5OpM2vWLHh7e+Pvv/9u0PHMfE8T8YvQvFAqleByuXWW3BKLxbCysgIAvHz5EtnZ2YYyTye0FN+Im5sbuwYwtG9Er5kmo0aNYv/foUMH9O7dG35+fvj999+xevXqGo+p2hSSUetqaxa5du1atXMVFxcT4aSJ0q5dO6xYsQIJCQka1SKti+LiYjYi+O2330ZISAgA4L///S8uXbqEmzdvYsaMGbhx40aNGUwEQktFm7q9TFq7Jmiy4NAEc3NzNqqhe/fuCA8Px9atW/HTTz+x+zATH4aGlM2pHGlaGzWNV1W3Vb6/MM/VtK0uRyCzj6ZNkwl1wwR0BAQEICsrCxs2bECfPn3w/PlzZGZmAqjuUHdxcak3rX/Tpk345JNP9Ga3rqEoCo6OjsY2wyCMHTsWDx8+xD///MPOTZl+BY2l8lyXUDcqlYotgaKtaJKWlobCwkK4ublpJBY0R27fvo2CggKIRCL0799f4+NsbGwwc+ZM7Nq1CwkJCYiIiGh0llVzo6ysjC1fVlVIJmMvgaB7zp8/z/4/Pz8fZWVl1ebvDNHR0Th79iz7G23Tpg1GjRrV6Kw5iqLQrVs3XLhwAQ8ePFC7L8bGxiI3Nxeenp6ws7Or91xNSTRJTU1FSUkJvLy8moQgnJqaiuTk5AYHTRDRpOVib28POzs7tgQWTdPgcrlq+wiFQjg4OEAgECA3N1ftPmTqfhGgZfhGqmoChvaN6L2nSWWsrKzQoUMHxMXF1fi8q6sr67BgyM7OBo/Hg4ODQ43H8Pl8WFtbqz0ITZcvvvgCR48erbWEm6asWbMGaWlpaNOmjVrpER6Ph71798LW1hb37t3Dhx9+2FiTCYRmBYfDqfOhy311AU3T9dZCDgoKUmuIBqDa31Xp2LEjIiIikJ+fX+Pz7dq1U4uSA4Bbt25pNWGqjeTkZLVF1+3bt9WaThMax6hRozBp0iR06NABw4YNw6lTpwBUlOFi0GTSV5W1a9eiqKiIfaSkpOjeeEKDGDNmDADgwoULbAQZ6Y9heORyOXv/r7porQ+KokDTNMrLy/VknenDLPaHDx8Oc3NzrY51c3NjowiTk5P1YV6ThaZpZGRkAADs7OxqdAwolUpkZ2c3uQhUgumyadMm9OjRAyKRCM7OzpgwYUK1qFmaprF+/Xq4u7tDIBBg0KBBbHPypoZcLsfz589x9epVABXjMVDR5Pfx48e1Cibh4eE4cOAAioqKYGNjg2nTpmHmzJk6E887d+6slpHK8Pz5c7bSiUKhqPc8jGjC3EtMGaZHnyaNn00BpuFzQ8skEtGkZUNRFAoKChAZGVnN11wZxjdRORu3qflFgObpG0lJSUF6ejr7PhnaN2JQ0UQmkyEqKgpubm41Pt+7d292AGU4f/48unfvTrIBWghVF9ENjSjw9/eHQCDAL7/8Ui1izMvLC7/99huACpGGKXVAIBBMmw8++ADXr19HUlISnj59inXr1uHq1at47bXX6jxuxYoVOHv2LL744gvExsZi27Zt9ZYAnDFjBlxdXTFhwgTcvHkTCQkJbDkjAHjvvfewe/du/Pjjj4iLi8M333yDI0eOqNULbSgWFhaYO3cuHj9+jOvXr2PFihWYOnUq6WeiJyoHdDDvcU0BHPU52UkQh+nStWtXuLm5wczMDHK5HDweT6fZCuXl5YiKiiLO6Hrg8/lo164dAgICtI4OY0SCliyaDBgwAMuXL29w3etOnTphzpw5JDuqCoWFhZBKpeBwOLXe58ViMbKzs5GTk6ORA5VAqI+wsDAsXboUd+7cwYULF6BQKDBixAiUlZWx+3zxxRf45ptvsG3bNoSHh8PV1RXDhw9nnd5NifLycvz9998ICwtDXl4e6yhcsmRJreOBTCbDpUuXAAAhISFYunQp2rZtq9PoYktLS8ydOxd2dnZISUlhhZM+ffrAy8sLgHaiSXp6eoOiuA0Fk+0JQKeOWn3CZBjZ2to26Hjmvl6Xw5zQ/FAqlexvkfEx1jSHZHqRMPs0pRKmLcE3QtM0LCws8Oabb+LJkydG8Y3o9U757rvvIiwsDImJibh79y4mT56M4uJizJ07F0BFVOacOXPY/d966y28fPkSq1evRlRUFH777Tfs3LlTJ04oQtMiMzMT8+bNw8KFCxt0/DvvvIPk5GQMGjSoxudfffVVLF26FAAwe/bsJhEVQiC0dLKysjB79mwEBgZi6NChuHv3Ls6ePYvhw4fXeVyvXr3w66+/4vvvv0fnzp1x/vz5erPMzM3Ncf78eTg7O2P06NHo0KEDNm/ezE6oJkyYgK1bt+LLL79EcHAwfvrpJ+zatavWe442tGnTBhMnTsTo0aMxYsQItG/fHtu3b2/0eQk1Uzmgw9fXF66urmoBHOXl5QgLC0OfPn2MaCWhMXA4HISGhrILZ2dnZ506C27cuIGDBw/i7t27Ojtnc4WiKPB42lcHZsp5tWTRBKiItG2ow9De3h6+vr6kEXwllEolG33s5ORU63dTKBTCwsICNE03mehsgmlz9uxZzJs3D8HBwejUqRN27dqF5ORkPHjwAECFo2jLli1Yt24dJk6ciPbt2+P333+HWCzG3r17jWy99lhZWbEOrrS0NDx8+BA5OTlwcnICUNGwuWrgAZ/Px4wZM9CpUyeMHDlSb0G0crkcEokEYrGYvb/6+PiwjesrCw21wbw2mUyGgoICvdipC3g8HjsXaioCcGMzTZjPhmSatCxSUlIQGxuLkpKSWgNvcnNz8eqrryIlJYX97Tcl0aSl+EZat26NcePGYcyYMUbxjei1p0lqaipmzJiB3NxcODk5oVevXrhz5w68vb0BVKQvVh4cfX19cfr0abz99tv44Ycf4O7uju+++w6TJk3Sp5kEEyQ5OZktldKpUycsXbpUo4mSSqViHSH11Wr/6quvcP36dVhbWzepmyOB0FLZuXNnvfskJSXVuH3BggVYsGCB2rZ33nmnznPV13Rw8eLFWLx4ca3PV4008/HxqbZt0KBBNUak1XduQsN59913MXbsWHh5eSE7OxsbNmxgAzooisKqVauwceNG+Pv7w9/fHxs3boSlpSVmzpxpbNMJjeCjjz5CXFwcbt68qbN+JgyBgYG4fv06Xrx4AYVC0SBRgFA3zIJXJpNpVC6vuaBSqfDPP/+gW7duaNWqlbHNaXYwmSPm5ua1loIGKsQ+JycnpKSkIC8vD46OjlqXmCMQ6oKJpmeyIBMTE5GZmYkRI0aw+/D5fAwcOBC3bt1ie3dWRSaTqZVmqdxM19j4+fkhMzMT8fHx6NixI/taDx06hAULFmDo0KE4duyY2jHe3t6s70hfMKIIkzXKlJNhxnJNxAULCwvY29ujqKgIWVlZJtt7i6IoiEQiZGVlNYnxlKZp9jvc0EwTPz8/hISEsH0fCM0flUqFsrIy0DQNMzMz1j8ol8vVvvNMlgSPx2N9jU3JL9gSfCPM/xctWoSVK1fWaZ++0Ouqbv/+/XU+v3v37mrbBg4ciIcPH+rJIkJTISQkBIsWLcJPP/2Et99+Gz/99BO++uorjB49utaB/e7du1i4cCF+/vlnjSKCLSwscPbs2TojywgEAoHQvKgvoGPNmjWQSCRYsmQJCgoK0LNnT5w/fx4ikcjIlhMag6enJzw9PTFw4ECdZyu4u7tDKBSitLQUL1++hJ+fn07P31xITk4GTdNwcXHROtuBWczSNA2FQtFiyvY+fPgQERERiImJwdtvv93o152cnIyoqCh4eHg0uMxXc8Lc3BxcLheurq71Zp9ZW1uDz+dDJpMhLy9P5+IroeVC0zRWr16Nfv36sb9LppRQ1ZJxLi4uePnyZa3n2rRpEz755BP9GdsI/Pz8cPPmTbx48ULNcRkcHIzS0lKcPHkSmZmZcHZ2RklJSYMzC7SFEUXS09ORlJQEX19f/PHHHwgODkaPHj00vu/GxsbC1tbW5AVVc3NzmJmZwdzc3ORFk9LSUrZce0O/D6GhoQgNDdWlWQQTRywWg6Zp8Hg8NlOZ6Y0nl8vZQBxGNOHz+TX2NCEYH4qiQFGUUe+rTaOQIaFFsm3bNuzYsQOOjo6Ijo7GmDFj8Morr+DZs2fV9pXJZFi4cCGeP3+OH3/8UeNruLm5qQkmphSNQyAQCATds3//fqSnp6O8vBxpaWk4fPgwgoKC2OcpisL69euRkZEBqVSKsLAw4lxsRnC5XK2baNcHRVFsM8Lo6Gidnru5QNM0SktLUVJS0iAHDYfDYR1XLaVEl0wmw5UrVwBUBJXpQihKSUnBnTt3EBkZ2ehzNQfs7e0REBCgkSjOZJsAFQ2UNe27KJFIkJ6eDolE0ihbCc2XZcuW4cmTJ9i3b1+156reL+tzcq9duxZFRUXsIyUlRef2NhRPT09wuVyIxWJMmzaNjSAOCgpC7969oVQq8ccff+DevXvYtm2bwUpeMpkmUqkUWVlZuHPnDhYtWoTQ0FCYmZlpPGY5ODiYtGBC0zTS0tKQn58Pf39/+Pr6mnxfE5lMhpCQEAQHB5PSkgSNKS0tBVBRWpNxutc0h7x16xaACtGEy+XqvCk7ofFU/fyMAflGEEwWHo+Ht956C3FxcXj33XdhZmaG8+fPY/PmzdX23bhxI54/fw4nJyd8++23Wl9LJpNh1apV6Nixo0nXISUQCM2b9evXIyIiwthmEAjNksePH2PgwIEYMmSIzs8dGBgIoCLS1JSbwBoLhULBOpkbuvARiUSwtrZuMQvaGzduQCwWw8HBAd27d9fJOSs3KyZUwOVyNXaK2tjYwMzMDEqlEvn5+XXuS9M0srKyEB8fj/z8fCQlJamVTSIQAGD58uU4ceIErly5olaCj+nDULV5dXZ2drXsk8rw+XxYW1urPUyFyoGKIpFI7XfH9DHds2cPrl69CoVCYTABghFNmEyGR48eAajIgNF3FoZCocBff/2Fzz//XK0RM03TSE5ORmlpqc7mFOXl5SgoKGhSvT0cHR1x9+5dPHv2rNGfBU3TZH7WQigpKQFQIZowMHNP5vcul8tx7949ABX3TQsLC3Tt2hXBwcGNujZN0ygvL9eoFxKhfkzBN9IyVh2EJo2trS2+/PJLREVFYfr06di4cSP7XF5eHsLDw9lt27Ztq7MmcW3IZDKcPHkSL1++xPTp01tMFCOBQCAQCC2B9PR03LhxA3w+H9evX0dOTo5Oz9+6dWuYmZmhuLi4mpOLANZZbG5u3mDRw93dHV5eXhAIBLo0zSQpKirCnTt3AADDhg3TmfOQEU2KiopQVlamk3M2NRhnZHFxsdYONCbbxMbGRs0ZU9u+jNOEy+VCqVTi5cuXpPQHAUDF93DZsmU4cuQILl++DF9fX7XnfX194erqigsXLrDbysvLERYWplEZalPlxYsXAFCtjOW0adMgFArh5+cHmUwGd3d3dO3a1SA2Mb9TLy8vABX3RwsLC3Ts2BHp6elsacn6OHXqFKZNm4YtW7ZodF2apvHPP/8gPj4eUqlU7TmJRIJdu3bh66+/xqZNm/Djjz/i8OHD9Yq1dcFku1lYWLDjcEsREdq1awcrKyu1fsqECnbt2oVZs2Y1G/+XXC5n55yVx2mRSARbW1tWPHn8+DEkEglsbGx0WqpfpVJBqVSSsV4H0DQNpVJp9PsUEU0ITQY/Pz/s27ePndAAwJIlS9CzZ08oFApMmDABU6ZMadC5ra2tceDAAVhaWuL8+fOYNWsWudERmj3GHoAIuod8pgRCzWRkZCA3Nxdt2rQBTdM4c+aMTs/P4/FYJxBZlFeHWcAytaUJdXPp0iUoFAp4e3uzWUy6gM/nw9HREQCQlpams/M2JQoKClBcXIzU1NRaS2zl5OQgOjq6xrK99vb28PT0rLFUjEqlUmsa7ebmBk9PT7Rp0wZmZmYoLy/X2AFLaN4sXboUf/31F/bu3QuRSITMzExkZmayjm2KorBq1Sps3LgRR48exbNnzzBv3jxYWlpi5syZRra+YUilUhw/fhzffvstxo8fr/acUCjE7Nmz0alTJ9A0jdGjRxssq5Ap/+Lq6gpnZ2dQFIWOHTsiMDAQ+fn5KC4u1qgZfFJSEg4ePIjr169rdN2bN2/iyZMnoCgKEydORM+ePdnnxGIxbG1tWfE1KysLz549w/79+xscwc58twQCAYqKihAdHW1S5dv0SVlZGSQSSZPKsjEE5eXlWLBgAfbs2YNDhw4Z2xydwJTmEggEamKIo6MjWrVqxQopTGmujh07sv1OdAFzHlPuFdRUYLJ2pFJpgz8fXXyuRDQhNFkKCgpw48YN0DQNW1tbbN++vVE3p27duuHYsWMwMzPDoUOHsGjRIrKoITRLmAgLsVhsZEsIuoaJEjLlmsoEgjFgFspMT4J//vlH59cYMmQIVqxYoeb4IFSgK9GEaeLZnMnMzMTTp08BACNHjtT5wrsll+iiaRq5ubkAAGdn51rHymfPnuHAgQNsTxlNKCsrw4sXL5CamsquH7hcLlvSy8vLCxwOB2VlZcjOzm78iyE0aXbs2IGioiIMGjQIbm5u7OPAgQPsPmvWrMGqVauwZMkSdO/eHWlpaTh//rxGPXhMkZs3b6KwsBBWVlZqveSACsGRCTx48uQJ7OzsDGaXr68vgoKCYGlpiW7dugEAevbsiXbt2rFOV01EEzc3NwCa3VtjYmJw6dIlAMCoUaPQoUMHtdfs6OiIlStXYt26dVi2bBlmzJgBKysr5OTksMdpS2XRhKIoKBQKk88uOHz4MHx8fPDmm2826jxMSTsimqhz48YN9v/NpUS9hYUFHBwcYGtrW+d+w4YNw+bNm1kBVywWIz4+HlFRUY0qpcmM/0zGCaHhVBagGjoXZvxdjemJors8JALBwNjZ2SE2NhZ79uxB9+7d2YlKYxg+fDj27duHqVOnYufOnWxpMKIUE5oTXC4Xtra27KLd0tKSfMebASqVCjk5ObC0tNRpmjGB0Bxg7nedO3cGAJw7dw7l5eU6bQrPCDKE6uhCNCkvL0dcXByAisbBzXXccnZ2xrhx45CTk6OTuW1V3N3d8eTJkxYpmkgkEpSXl4OiqDqdsoxjzdXVFXl5eRAIBLC0tFTbRyaTsWOuVCply+Yw2SZVF+gCgQCtWrVCXl5eg0oJE5oXmgTmURSF9evXY/369fo3yACcP38eQMV6m4nsZu7j9+7dQ2lpKSiKwsaNG6v93vQNY0fbtm1x8OBBpKenIyAgAEqlEgqFAnK5vN7SkJoK0llZWThy5AgAoHv37ujRo0et+3K5XDg4OMDBwQHjx4/H3r17kZ+fD5VKpVUmDk3T1UQToGJcrfw5mBpZWVl4+fIl8vLyAFTYK5PJwOPxtCrVSUSTmnn8+DH7/+aSJS0QCGr9bjDjs7m5OYKCgljxNiMjA9nZ2ZDJZFAoFI3qJVReXs5msdY0FyBojlwuh1KpbFDWIU3TEIvFyM7Ohq2tbaMCSolXhdCksbKyanTkQVUmTZqEX3/9FQsWLMC3336LWbNmsU4WAqG5wDSYJNGOzQsOhwMvLy+TXfwQCMaAacgMVESPuri4ICsrC9euXcOwYcP0dk3yO/wXJkqsMaKJmZkZu4htzgtRDoeDLl266O38Hh4eAIDCwkK9XcNUYV6ztbV1nQtopi9RfHw8zp07h549e2LkyJFq+xQVFaGwsFDtfbSzs4Orq2ut57a2tq7WAJtAaCkw/VkGDRqEvXv3oqysDG+88QYAsI3fR40ahbZt2xrNxuTkZOzYsQNmZmbw8fFBcnIypFKpRpkmjGiSkZFRp6jBNKn29fXFK6+8orFt/v7+mDt3Lry9vbW+h8hkMtA0DQ6HAz6frxYNb8rjaVFREQCwWQOFhYXIzs6GnZ0dO5ZpAhFNaubtt99GTk4ONm3ahJcvXxrbHL2iUCgQHR0NoCLwpvLvk/GLPH78mP2dNLR/nkKhYEUTDodDAhkbAfNecrncBosetra27OfbUMgnSCDUwPz581FcXAx3d3cimBCaJRRFwc3NDc7Ozs2+1ElLojFNlgmE5kpJSQmkUikoioKzszNCQ0Px22+/4eTJkzoXTbKysnD58mVQFIXp06fr9NxNGR8fn0aXPKUoCubm5mykqak6eRqKUqmESqXS++tyc3PDypUrYWNjo9frmBoqlYoVOOrKMpFKpayjrmPHjoiLi0N4eDh69+4Na2trdj8HBwfk5uayn5mHh0e9zeEB9Trn+fn5sLS0rLE/CoHQnKBpGvPmzYObmxuGDh2KXbt2gaZpFBUVwcbGBv369UNwcLDafckQwQelpaXIysqClZUVXF1d4eXlhaNHj7IZadqU52Icc3K5HHl5ebVmn7Zp0wYLFy6ESCTS2hHo4+Oj1f4MTLYnk2VCURTMzMwgl8tRXl5usuMpc8+2sbGBTCZjBSdtyx4xogkjiBP+pUePHuBwOGwmUlOG6WdiaWlZbT3M5XLB4XCgUqkQERGB2NhY9OvXD61atWL9IrNnz0ZcXBy+++67aoESmpKQkMDOdy0tLbUS9wjqvHz5EjKZDK6urhrNr6piZmamk5LlRDQhEGph5cqVan8rFAqiFBOaHY1R7gkEAqEpwEQWOjo6gsfjYeLEicjJyUG/fv10fi0ej4fY2FhwOBxIpVLiDK2ELpxfjGhi6nXYG0J4eDhu376NV155Be3atdPbdZgSnS2NkpISVuCwsrKqdT/GqWZjY4Pg4GDcv38fL1++RFhYGMaOHcvux+Vy4e3tDYlEAjs7O63nUnl5ecjIyICZmRn8/PzIGoPQrKEoCitWrMCKFSsAVGS8paamIj4+Hl27dgXwr5h59+5dbNiwAf7+/vjmm2/0apdMJoNEImFFA2tra4wYMQJAxT0jNjYWTk5OGokm5ubmcHJyQk5ODjIyMtREE6ZUDHPvcXZ2brTdZ86cgY+Pj0YBnjY2NhCJRGqvg8/nQy6XQyaT1XlPNCaVM01KSkpYx74mn0dlGEHLmJkmNE2jtLQUVlZWJhHgxmRDhYaGQiqVmqxwpg3Z2dkQi8Vwd3eHvb292nOMUCiTyXD58mW89957WLJkCX744Qd2HwsLCyQnJyM3N7dB83eVSqWWZaZSqcg6oIHQNA2FQgEOhwNra2udllPWFuP/WgmEJkBKSgo6d+6M48ePG9sUAoFAIBAIWqBQKGBnZ8dGGoaGhuLEiROYPHmyzq/l4OAAR0dHqFQqvHjxQufnb+kw5b2am2gikUgQFhaG4uJitmklQbdwuVxYWVnB1ta2TgGPcaq5uLiAoigMGTIEABAREcH2LWGwsrKCo6Njg4JPmAbxcrkcycnJbDkPAqElwDR9/+eff5CWlqb2XH5+Pk6ePIndu3dDKpXq1Q4m274m0fL58+dITU0FAI3tcHd3B4/HQ25urtr2u3fvYvv27TorgRQREYHHjx/jzJkzGjfw5nA4ao5H5v+mPJ5WzjSpPDZqK5r4+fmhZ8+e8Pf316V5WlFSUoKUlBRkZGQYzYbKhIaGYvDgwXj69GmzEEyUSiX7HaktK4H5zufk5AAA+vTpo/Y8k+nGiHXawuFwEBQUBC8vLwAV95fGZlm3VCr3WzL295OIJgSCBnz//fd4/vw5pk2bhsuXLxvbHAKBQCAQCBrSrl07rFixAhMnTjTI9QIDAwEAMTExBrmeqZOdnY24uLhqDueGwCx4mVIjzYVr165BKpXC2dlZr/1MGDIzM7F//34cPnxY79cyFYRCIXx9feuN8GYyTRiR1cvLC/7+/lCpVLh69arO7OHxePD29gaHw4FYLEZ6ejpxrhCaJTRN488//0RKSgq7jRFNAGDPnj1qpYJHjBiBVq1aoaCgAMeOHdOrbYzznXHKXbt2Db/99huePXuGkJAQyGQynDhxAg8fPtTofGFhYZDJZKzYCgAvXrzA+fPn2d+5LujRowc8PT1RXl6Oo0ePNkh0FQgEsLS0NGoEd31UzjQpKytjt2tbnis0NBR37tzBZ599plP7tEWlUqm9DmNRXFyMS5cu4erVq2plJ5syTGkuc3PzWr/TzHbm96Jr0QSoEE4Y0YbJPCFoD5fLhZubG5ycnIzeB46IJgSCBmzcuBETJkyATCbDuHHjcO/ePWObRCAQCAQCQQuqTrqTkpJw4MABnV+HEU3i4uK0XtgDFdFVzWmRJZVKIZPJdPKamkJkrLbk5+ez88rhw4cbpGwHRVGIiYlBXFxci3PU17f47t+/PyZNmoTg4GB22+DBgwEAT58+1Wl5FwsLC3h6egKoiKjOy8vT2bkJBFMhMjISc+bMQWBgICt4e3h4sPe6gQMHqkUSc7lczJ8/HwCwc+dOvdrGiDXM9f/66y8sXLgQR48eZUsXKRQKPH/+HHFxcfWez8bGRu0enpubi7///hs0TaNz587o1auXTuzmcDh49dVXYW5ujpSUFNy8ebPWfSUSCeLj46vdu+zs7NC6detqZYxMCQ8PDwQEBMDDw0NtPqVUKpvc2MWUQGP6shmTCxcuQC6Xw9/fH/7+/vjwww/Rv39/hIWFGdWuxsCIJiKRqNZ9mN+5m5sbXF1dq/UIsrW1bVDvjKpwOBw2A5X0jm0YPB4PDg4OjS5lqAuIaEIgaACPx8O+ffswdOhQlJWVYdSoUaTsBoFAIBAIJg5N0zUurNPS0uDr64vp06fj448/bpC4URseHh6wsrKCTCbTqhQHTdPIzs5GbGyszqJRTQHGOcCU1moMfD4f1tbWzaqJ+cWLF6FSqeDn54c2bdoY5JpOTk7g8XiQyWTN3lFP0zTy8/M1dlzY29ujffv2bKYJUOFgCQoKAp/P1/n7JRKJ4ObmBqAiy0XbsjMEgqlz4cIFAMCAAQPYcYDD4eC1117DK6+8gpCQkGrHMKLJxYsXkZiYqDfbqoomTNkeR0dHABW/fUboOHXqlFaCfXFxMfbt2weZTAYvLy+EhobqNGLazs4Oo0aNAgBcvXq11nmDWCyGRCJpko2+f/31V8TExLB9bywtLdnnGnKvrG1OqG9omgaHw2HtZxz8xuLUqVMAgDFjxgAAnjx5ghs3biAqKsqYZjUYpl8MUHtpLuDfwBsPDw/06dOn2u/xs88+Q0lJCT755JMG2ZGXl4fU1FSUlpbC29sbbdq0MelMrsbQkuYqRDQhEDTEwsICx44dQ48ePZCfn4+xY8eydTYJBAKBQCCYHtnZ2fjiiy+wb98+te0eHh547733AACffvopRo0axTpLGguHw2HrZmtaooumaWRmZiI7OxtAhbOlqUVR1gRN06yTSReiibm5Oby8vEwi8kwXJCcnIyoqChRFsc2HDQGHw2Ed9VX7CTQ3pFIp0tPTERcX16hsp5EjR2LlypUICgrSoXUV2Nvbs78PUyjdQiDokvPnzwOoyKSrTOvWrdGzZ88ahQRfX18MGzYMALBr1y692EXTdK2iCdPEnaZptGvXDv3794dYLMaVK1fqPOfNmzcxdepUfPjhh9i+fTvy8/NhY2ODqVOn1tg3pbF06tQJQUFBUKlUOHLkSI3iMCOWCASCGs+hUqlMfr7B9KqwsrKCm5ubWqaSJtA0jcDAQFhaWqqViTMUMpkMkZGR7OswpmiiUqlY0SQ0NBQA2IwLXfXcMTTl5eWQy+WgKIrN6KkJPp+PiIgInD17tlppLqD+TNT6KCkpQWFhIcrLy2FpaQkLCwuDZA8bmry8PERHR2vcT6khFBcXQyKRmETmffP7BAkEPSIUCnH8+HG0atUK0dHRWLVqlbFNIhAIBAKBUAtZWVmQSqU1NnH94osv8Oeff8LS0hIXLlxA165dcfv2bZ1ct127dvDy8oKrq6tG+5eWlrIR7BRFQaVSNYuG4EwTTFNo5GiKMFnLXbp0MbgQ5O7uDgDNKqupJphFvUgkqtd5kZKSglu3btUoJFlbW9fqdGwsFEXB3d0d/v7+zaa+PIEAVDiLmZI/2grDCxcuBFAhmugyG5RBpVLBzMwMFEWxgkZV0YSiKJSWlsLZ2RkCgQAxMTF1Zq3l5ubi0KFDSEtLg0wmg4eHB+bMmVOnI7cxUBSF0NBQiEQiSKXSGjPhGNGkcpYGQ0JCAiIjI01erGXmQ5aWlnBwcICdnR1b/kgTKIqCWCyGVCrVaYlFTZHJZOxcCKiY8xnLGfzgwQNkZ2dDJBKhf//+AP4VTZKSkoxiU2NhRChLS8s6x3lzc3O888472L17d42iSWNhgoQ0yS6JiorCBx980CSDsDMyMgDoL+iGpmmkpKQgPj7eJMqb6V7uJhCaOW5ubjh+/DhWr16NjRs3GtscAoFAIBAItcAsjmtzSM+aNQudO3fG5MmTERMTgwEDBuDrr7/G8uXLGxVxFhAQgICAAI33F4lEcHZ2hpmZGUpLS1FUVITS0lK9OVq0RSqVIi4uDh06dNDqOKY0l7m5uc7KktA0Xa15b1NlyJAh8PPzg4ODg8Gv7eHhAaB5iyYqlUqtkXB9xMTE4ObNm+jWrRv7/lSFpmnEx8fDwsICrVq10pmtpvJbJxB0ya1btyAWi+Hq6or27dtrdeyECRMwdOhQTJ48GUqlUisnuSZwuVwEBASoObOriiZARZlupVKJIUOGoF27djWOO0xWJSNGX716FQcOHED37t31HmluaWmJ6dOnw8bGptp9RKlUsuNwTaIvY5sp9glTKBRo06YNbGxscPXqVXC53BqFH01xcXFBamqqUUQTJnDHxsYGpaWlUCgUEIvFOumfoS0nT54EUJE9yTj3vb29ATRd0cTe3h6Wlpb1ZkxRFIUHDx7g9u3bbMm3yjx69Ahr166Fm5ub1hlulTPXzM3NIZVKUVxcDDMzM9jZ2antW1BQgJEjRyIlJQVOTk54++23tbpWc6e8vJy9L5tCeTOSaUIgNICuXbviypUr7MSIQCAQCASC6cGUu6rcn6Aq7du3R3h4OKZMmQKFQoE7d+4YxDalUqkWPevs7Aw7Ozt2EW1K9YLff/99dOzYEQcOHNDqOF32M2HIzMxETExMs+nF4e3tbRTHCTOHzczM1EsUtylQWloKpVIJHo+n0XvMONPqyhC7c+cO9uzZg3Pnzpl8SRsCwdhULs2lrXBuYWGBixcv4q233tKr44yxSy6Xs5lpVUUTAPDy8qrRjuLiYuzduxf79+9nyx6mpKQYRDBhcHd3VxNMmPkDk2ViZmZWY3kwZmw2RdGkqKgIL1++xJMnTyASiWBtbQ0ulwuZTIaSkhKtm6kz80BjZZoAFd9poVAILpdrtDle586dERoaiokTJ7LbmnqmCUVREAgEGolqHh4eGDduXI0irFgsxrlz53D9+nWtbaiaWS2RSJCdnV0tk4SmabzxxhtsmThNy/iaEsy9RJc9mipTee2gr2toA8k0IRAaSOUfMDNJGjhwoBEtIhAIBAKBUBlmcVyXaAJUZHocOHAAo0aNwpQpU3Q2SReLxUhOTkbbtm3VtisUCrZ2tK+vr5pjxcbGhnUOmArfffcdAGhdOojD4YDP58PCwkJntjBOK20dJqaEPsQkbbG3t4dQKIStrS3EYjFEIpHRbNEXjAPU1tZWo990ZmYmgLrvFx06dMDly5eRmpqK2NhYBAYG6sZYVIg8+fn5sLS0ZBtREwhNmYsXLwLQvjSXMahcItPe3p7dzmSWME5umqbx8OFDtG7dGklJSTh37hxkMhk7ZlMUBaVSiZycnHrnHvrg2bNnuHz5MubMmcNGvtdWWtCUx1PG2WxlZaUm+OTl5SE/Px9OTk5avb/Mvsx93pBUHvPt7Ozg4eFhNGfwq6++ildffVVtGyOaZGZmQiqV6nTOZmqkpKSguLgYrq6u1cZZGxsbAGAzVLWBER6Zkn/MfaNqealffvkFhw8fZv9OSEjQ+lrGxsfHBy9evNCbKMxkZhlzjlwZIpoQCI3k77//xowZM+Dg4IB79+6hdevWxjaJQCAQCIQWj1gsRklJCYDay3NVhqIozJ8/n/2bpmnMnj0bI0aMwIwZM7QuBSWVSvH1119DpVLh7bffZgUHuVyOpKQk1slSXl6utkA1taaRjLjD5XLZ+teaYm9vr+Z80gWMk8cUI2M15fHjxzh37hxCQkIwcuRIo9hAURRWr15tElF8+kChULC/f01Kc5WVlbF10etyxAmFQvTs2RM3b97E5cuXERAQoLP3sLy8HMXFxVAoFEQ0ITQLzp49i0uXLmHIkCENOl6pVCIyMhIJCQkYP368Tm3Lzc1FYWEhO07Z2Njg3LlzKCwsVAtaYBz2jGhy/vx53LlzBxYWFqxzz8PDA+PHj4eTkxOcnZ2RlZWF9PR0g4smSqUS165dQ0FBAf78809MnDgRPB6vXtHEFMdTxnG9bt06ZGVlwd7eHmZmZuxno22GpLEyTVQqlVqmiSkFxDAw338bGxvk5OTA09PT2CZpTE5ODmQyGVuiqy6WL1+OIUOGwN/fv8bvfGXRpHLZPk2o2s+ksmjCnIumafzzzz8AgGnTpiErKws9evTQ+BqmgpmZGUQiEczMzLR+nzSh8u/FFDCtVRmB0AQJDQ1F9+7dkZeXh7Fjx6K4uNjYJhEIBAKB0OJhSnPZ2to2KFrp4MGD2LNnD+bOnQsLCwt4eXlhwIABmDt3Lj7++GM8evSozuMtLCzYEkhM+r1MJkNCQgJkMhl4PB58fX3rXBQYq1FoZZgyBd26dTNKGamqVC4n0lTLI8XHx0OlUhm9j0VzFUyAirI0TMkOTRbejCPN3t6+3lJAffv2BZ/PR3Z2Np49e6YTewGwvy+xWNxsS6YRWhYODg6YOnVqg0VAsViMjh07YsKECWzmmK6QSqWQSqWsGCIQCDBixAhMnTpVbb+qokm3bt3A5XIhlUrB5XIxbNgwLFiwgC3pxYz7xugXxeVyMWvWLNjY2CA/Px8nT56Ej49Pre+/KY+nhYWFsLS0RGhoKNtrBqj+eWgKU3bR0KIJ40zncDhqGTM0TRv8Pn/69Gk2EKYyFEUhNzcXL1++bFKCCVAhcBQWFtYr/BUXF2P79u3Yt28fgOoZIMC/oolcLmcFUU1hvo9VRZPKnzNFUTh27Bj27NmDvXv34sqVK/jss8+0uo6xUalU4HA48Pb2hru7u17mkaaQjV0ZIpoQCI1EIBDg+PHjcHd3R2RkJGbMmGHQAVAul0MsFhvsegQCgUAgNAU4HA78/Pzg6+vboOMnT56M9evXw8rKCiqVCikpKbh+/Tr++OMPfPrpp3jy5Am776VLlzB9+vRq4zFTuic2NhZSqRSJiYmQy+UwNzdH69ata3XmlpeXIz4+HnFxcUZ3ZFy7dg1ARVmiDz/8EEOHDtXIJpqm9WI7U/qgctPNpoRCoUBiYiIAoE2bNka2pgJT6p+jK0QiEdq2bVtrQ/eqMCVb6upnwiAQCNCnTx8AFQ2fdTXvNzc3Z50ETNYLgdCSEYlErAgRGxur03Mz40d9WaRVy3M5Ojri1VdfRceOHbFo0SL07dtXLUPU3d0dPB5P5yKPplhbW2P27NmwsrJCZmYm9u3bV+s93pTH06KiInTq1AkcDgdmZmbs59BQ0aRNmzbo2bMn/P39dW5rfYhEIohEItbBXFxcjJiYGKSlpRnMBplMhqlTp8LHx6dGsb+mnjemTmVxo76gnnv37kGlUrHfm5pEFqFQyH5G2pbocnZ2RlBQEJvRxOFw2Kyiyr8tLpeLmTNn6iWr3BDrhaysLERGRqoJmbqEpumWJZps2rQJPXr0gEgkgrOzMyZMmFBvo5urV6+Coqhqj+joaH2aSiA0Cnd3dxw/fhwCgQCnT5/GmjVrDHJdmqaRkpKChIQExMXFoaysjAgoBAKBQCCgomnrrFmzMG7cuAYdz+Vy8fHHH6O4uBgZGRm4ffs29u7di40bN+LNN99E586d2X1jY2Nx4MABDB8+XM1RwogmqampSEpKgkKhgIWFBVq3bl1nNDuPx4NUKoVcLjd6rXFGNBk2bBi2bNmCy5cv4/bt2/UeJ5FIEBUVVWNUY2OoXCvaFEuK1EdKSgrkcjmsrKyMUu++MjKZDDt27MDmzZtNzmGmC7hcrsblHTTtf8TQs2dPWFpaIj8/X6fOXMbxQ0QTQlOGpmlMmjQJGzZsaFB/gMoEBAQA0L1owjhPmfHk4cOH2LlzJ8LDw9X2YwRYpu8DAAQHB+PVV19VaxjPcODAAchkMsyaNUun9mqDg4MDXnvtNfD5fCQnJ+PgwYM1irsURcHa2lqjEoaGprCwEF27dgUAtazMhpbnCg0NxZ07d7BhwwbdGakBFhYW8Pb2VsvgMDMzg0KhQGlpqcECY8LCwlBWVgZ3d3cEBwcb5Jr6hhknBQJBvaLPrVu3AIANpKgpu4rD4bCldBty36oslAD/3ltu3bqFxYsXQyKRVDtGIpE0yn9XVFSE0NBQUBSFwYMHN/g8miKTyUDTNC5evIisrCy9BIt7eXnB1dW13qxfQ6FX0SQsLAxLly7FnTt3cOHCBSgUCowYMQJlZWX1HhsTE4OMjAz2YQxFmEDQhu7du2P37t0AgG+++QY7d+7U+zUzMzMhFoshl8sRExODxMREg6ecEggEAqH5ERERgd9++w0pKSnGNsXocDgcuLq6olevXpgxYwbWrl2Ln376CZ06dWL36dixI2xtbXHr1i0MHDgQGRkZACoiUu3t7SEQCKBQKGBubg5fX996F3ccDod1EujTeapSqXDo0CG2xnJVsrKyEBMTA4qiMHLkSEyePBkA8Mcff9R7bplMBpVKpZcSY5VLijQ1Xrx4AQDw8/Mzenksc3NzthSUMZrj6ouGZM6MGTMGb7zxBjp27KjR/nw+H507d4aLi4tOI0YZ0aSkpMToWWYEQkOJjo7GkSNHsGHDhkY7vvQlmlTNNDlx4gRef/31amt4pqySpvdrKysrk+hNxuVyMXbsWAQGBuLFixeIiIiocT9PT0+0atVK7XOiaRp79uypN+BZn1hYWKBfv34AoNaroqGZJqYE09tEpVIZLOD15MmTAIDRo0fX+F0+ffo0BgwYgFWrVhnEHl3AzI81KR3LiCbt2rUDUHt5NFtbWwiFQp18Lsy9Zd++ffjxxx+xZcsWtednz54NS0tL7Nmzp8HXiImJwenTpwFUBDnl5uY2+FyawMy7HR0dkZOTo/OMOoqiIBKJ4OjoaPQ5MoNe7+Znz57FvHnzEBwcjE6dOmHXrl1ITk7GgwcP6j3W2dkZrq6u7MMUGyYRCFWZOnUqPv74YwBAUlKSXq9VVFSEvLw8AMD9+/fZ1MSysjJkZ2c3SUcCgUAg6BtNsmDnzZtXLeO1V69eRrLY8MTGxuL48eNISUnB2bNnjW1Og6Bp2qCZl3379kVYWBhcXV3x9OlT9OvXDwkJCaAoCoGBgSgoKEBCQgK8vLw0ntMaIuJcoVAgMzMTCQkJNfZkKysrw/Tp0zFixAjY2dlhzpw5ACoiaeur96zP9Hpra2s4OjqaTJNIbYiPjwdQIZoYG4qi2NI3hiwTok9omkZcXBzi4+O1mgubmZnB3d1dq4jrIUOG4K233mIzynSBlZUVKIqCQqEwepYZgdBQLly4AAAYMGBArU3INYX5fenSga9UKllBn3FsMuVmasoeaYqIxWLQNI3OnTujT58+bNaGJpw6dQqzZs1C27Zt9Whh3UybNg0dOnQAoC6aVM40aYiwrK/SobWhUCiqXY+iKDWBXB+oVCqkpqaisLAQNE2zosmYMWNq3F8sFuP69evVMq1MGWaMrK8BvEqlYjOke/fuzQpvNc0REhISUFJSgi5dumhsh1KpRGJiItLS0tQ+a2dnZ2zatAl79uxB586dsXr1arXjmPkGMy9sCHFxcez/mQwQfaFSqdj37OHDhwBq7g3T3DCoBM6kONnb29e7b5cuXeDm5oahQ4fiypUrte4nk8lQXFys9iAQjMlHH32EK1eu4H//+5/eriGVStno35iYGIhEIkyYMIGdlF67dg179uwhiy0CgUCogqZZsK+88opaxisTxdMS8Pf3R2BgIDgcDtLT05Gammpsk7QmPz8fX375Jb7//nuDLY47duyImzdvonXr1khISEDfvn3x5MkT1uETHR2tVcQts6AuKyvTW0N4mqYxePBgDBw4EMnJydWeb926Nfbt28eKZ4MGDYKnpycKCwvZBXht6FM0sbOzg6ura70LZVOjtLSUzQg2BdEEMG7TYn1QUlICpVKJ8vLyensVNBZ9BPVxOBwIhUIIBAK9/e4JpsG1a9cwduxYtpnusWPH1J6naRrr16+Hu7s7BAIBBg0ahOfPnxvHWC05f/48AGD48OGNPpc+Mk0YRx+Xy2WzQpgI7ZqapmdkZODly5caCbHPnz/HlClTsHDhQp3Zqy00TbOlgLy8vDB8+HA2arumOZFKpVJzfnbr1o39v7GqWEilUtA0DS6XqzaP4PF4cHV11bhfFQNN0/D394dAIDDYvFalUiE6OhpRUVHVMmNEIhEA/QXG5ObmorCwEKmpqYiOjkZiYiLMzc0xdOjQGvf39vYGoP/AX13C/B7rG+sjIyNRXFwMKysrdOjQAfb29nBycqox67shWWLl5eUoKytDSUmJWnbE999/j71794LD4WDfvn3V5sOtW7cGUCHUNBQme5mBuffqg8r3v8jISADQub+xqKgIRUVFJiXGGEw0oWkaq1evRr9+/dC+ffta93Nzc8PPP/+Mw4cP48iRIwgMDMTQoUPZespV2bRpE2xsbNhH5VqBBIIx4HA4GDRoEPu3VCrVqZinVCpZNTo7OxtyuRxTpkwBj8dj1WpXV1ckJyfjzz//rDcSlEAgEFoSmmbB8vl8tYxXTQI+mjJMnwWgIgKucoTfvXv3jGlag2AW+RYWFgZN727dujVu3LiBDh06QCwWIzk5GSKRCOPGjcOSJUu0Wozx+XzweDy9Zs0wTiIej4f8/Px69+dwOGyd9vpKdJlaI0dTgMvlYtSoUejZs6dajXZjwjiemkumSWFhIYCKCE5Nf/txcXE4efJkgyPZZTIZIiMjdSbQenl5wc/Pr8mJggTtKCsrQ6dOnbBt27Yan//iiy/wzTffYNu2bQgPD4erqyuGDx+ut8h0XSGTydig1xEjRjT6fIxoEhcXpzMhkaZpmJubqwUy1JVpUlJSgpKSEo0ceVKpFH///bdRM3XlcjlbeqhyRqZCocChQ4dw8+ZNdltZWRkiIyORmJjIbnNzc2NLkF69etUwRldBLpeDw+HA0tJS7V5OURQcHR1hZ2en1fyOoihIJBLIZDKDCUGVncxVRXYmMIbpX6drKvfPOHPmDABg8ODBtZayYnr2ZGRkNInAW5VKxZbNqy8gKSEhAQKBAD179gSPx4OzszNcXFx01jOjJvEmPDwc69atAwBs3bq1xqwtXYgmTKYJI4adO3dOb8FizOu0sLBgvyPMnEtX5OTkICUlpcb+L8bCYKLJsmXL8OTJE+zbt6/O/QIDA/HGG2+ga9eu6N27N7Zv347Q0FB89dVXNe6/du1aVo0qKioitbcJJkV2djaGDBmCyZMn66zuZlJSEutAyc/Px5QpU9hB2MbGBkDFQtHR0RFpaWn4/fffSXN4AoFAqIXasmCvXr0KZ2dnBAQE4I033kB2dnad52mqma80TePmzZvYtWsXTp48yU60KYpCSEgIgIqoSVN30lSFWRA7Ozsb/Npubm64evUqfvnlF/j4+CA3NxedOnXSqOZyZfRdviEpKUlNKKnqjCorK0NUVFS1xdfs2bMBVCzCa/td0DTNLq70IZrQNA25XI6ysrIm1fdBIBAgJCQEr7zyirFNYWEyTfLz85t8oI1CoWB/K3Z2dhofl5CQgAcPHjTIcaFQKLB161YcOnRIZ31hTKWON0G/jBo1Chs2bMDEiROrPUfTNLZs2YJ169Zh4sSJaN++Pbum27t3rxGs1Zzbt29DLBbDxcWFDb5oDL6+vvjss8/wxx9/6Ew0EQgECAgIUMv4q0s00aaPBnNPzczM1EuTZE1gHI4WFhZqwRpM1sPFixfZIEzG0Vu1MTbTVLquqi/6ZO3atXjttdfw+PFjnZ3TxcUFgOGyZyoHj1S9r/N4PLZKiD6yTSqP50wppdpKcwEVGVaWlpagabpJ+FQ5HA4CAgIQFBRUb0DSuHHjUFRUpFHvkG3btmHUqFHYv3+/xrYw811GhCkpKcGMGTNgbW2N7777rtb3nbn/NKY8F5NpMn/+fFhYWCA9PZ3NAtE1zPf53r17bOafLlsC0DRtkgFXBhFNli9fjhMnTuDKlSto1aqV1sf36tVLrVZbZfh8PqytrdUeBIKpkJ6ejsePH+PChQtYsWKFThb23t7eyMrKQmZmJl599VW1qAUej8c6WEaNGgVLS0tkZmbi999/12tNdELTJC8vj+2LQyC0RGrLgh01ahT27NmDy5cv4+uvv0Z4eDiGDBlSZ+RVU8x8lclkOHToEC5evAiapkFRlJpDwt3dHZ6enlCpVBr1ozMlGGc+s0A2NDRNIygoCBRFwdPTExwOh20Orw3W1tawsbHRS1ZCUlIS2zvh1q1buHXrlppD6OrVqwgKCkKfPn3UjmvXrh1GjBiBhQsX1rpYYrYzDXT1QWxsLBITE00qhb8pYmlpyWYqN/USXUVFRaBpGhYWFlr1u2HEDldXV62vyePx2GjR2hotNxSlUkm+3y2UxMREZGZmqmVq8Pl8DBw4kG1oXBOmEMBx7tw5AMCwYcN00hDdzMwMH3zwASZNmqS38QTQTDTR5Pfo7OwMDocDlUpVb8CNvmBEk6rZau3bt2d7m9y9exdAxfvLOPSZsXv9+vW4ceMGAODy5csGsTk1NVUt4zEmJgYRERE1+jCkUilKSkq0dtgaWjRhhIvaxiNbW1s4ODjovD9beXk5+121sbHBli1bcOjQoRoFWgaKothsk6ZUokvTIAMzMzN2jGcCe2rKZoiMjMTZs2cRFRWlsQ1VRZOoqCjk5+fD19cXgwcPRl5eXo1+QF9fXwAV2RoNbajO+Mnbt2+PgQMHAtBfiS4+nw+hUIhjx46x9zYzMzOdBS8xwq0m2UOGRK+iCU3TWLZsGY4cOYLLly+zXwptefToEdzc3HRsHYGgfzp37ow9e/aAoijs2LGj1vRrbeDxeBg0aBBCQ0NrrKXMLHwpisK8efMgFAqRnZ2N3bt3N7lIYYL+kEqlbK8GXUYIEAhNidqyYKdNm4bQ0FC0b98eY8eOxZkzZxAbG4tTp07Veq6mlvmam5uLX3/9FVFRUeBwOAgNDcX48eOrjSshISHw9vbWuna0sWEWxMYQTSQSiZoTViAQ4MqVK5g0aRI2btyolRPF2toanp6eOg8KkslkbBSXjY0NWz+4cqQ8Uxo3ODi42vHnzp3Djz/+WGswFE3TEIlEEAqFeomar7ygaipjWF5eHu7fv6/zUga6oF27dujYsaPOHTeGpnJpLk2habrR9wumjM3Tp091Flmem5uLqKgo1pFLaFkw9+Kq30kXF5c6M5pMIYBDqVRCJBKZVEZdfahUKrZcZU2iCZONoUmmCZfLZZ2zDQmW0AWMM5jJZKhM3759AVQ4WwsKCmocT7///nvcv3+f3U+fPUBUKhUuXbqEv//+m/1u0zRd5/08KysLL1++1Nq3wfyedJUVWB/1Rc07ODjAzc2txs+pMfB4PHh5ecHV1RWenp5wdHTE5MmT2Syo2miKfU0aglgsRmxsbI1rNaZyC1OJQBOqiiYhISF48uQJfvrpJwAV3+ea7h1WVlbsd7Ihma75+flsxnibNm0wduxYDB48uEGJCppgbW0NMzMzHDp0SE000VVFnboys4yJXkWTpUuX4q+//sLevXshEomQmZmJzMxMNUVv7dq1mDNnDvv3li1bcOzYMcTFxeH58+dYu3YtDh8+jGXLlunTVIOgUqnw8uXLJh/FRdCOCRMm4PPPPwcArFq1iq0pqQ3R0dG4ffs2uxDjcrm1Np8UiURo3bo1fHx84OTkhPnz58PGxgZ8Pp+9kctkMuTk5CAhIQFPnjzBrVu3cO7cORw+fBi///67zm58uqKwsBDh4eG4cuWKwSY5zZ3KJVlI+TZCS0SbLFg3Nzd4e3vXmvUKNK3M15iYGPzyyy/Izc2FSCTC/Pnz0b179xonqMHBwZg3bx78/f2NYGnDkMlkbMSWoUUTpVKJ5ORk0DQNa2trtuzb2bNn0aZNG8jlcnz99ddGH2fj4uJw8eJFREZGwtvbm/0NVHaMMKLJgAEDtD6/hYUFvL294eXlpRuDa6DynKYpEBkZiVOnThm1zn1tjBgxAq+++mq9DhVTpnLUqDaiSUlJCSQSCSiKanA5Pz8/PwiFQkgkEp01q65c5qMplaAj6Jaq4zIThVsbphDA8cUXXyAvLw9TpkzR2TkzMzNx/PhxnWU9pKSk4MWLF2wWA03TOHPmDPbs2VPjfUCb8lzAvyW6jOX3sbKygqWlZY3OeHt7ezY7jinbVFk0KS4uZteJTB8GfZXokkql2L9/P5vVwghWBQUF2Lx5M+vHqArzeWgrUjNiljHKcxkSDocDa2trODo6anVc69at0apVK52VwdMn2dnZiI+PrzdD49y5cwgKCsL69evZbYwIKpfLq42vuhBNAKBVq1bo1q1bvfeOyZMnY/78+Q3qYWZnZ4eMjAzcunULVlZWWLp0KS5fvqzTe29VmN+OUCjE8+fPkZ6errNgEVMszQUA+stvBLBjxw4AUGuKDQC7du3CvHnzAFSo78nJyexz5eXlePfdd5GWlgaBQIDg4GCcOnUKo0eP1qepeoemaaSlpUEikcDBwcHY5jQY5gaqi1TblsS7776L6Oho/Pbbb5g2bRpu3bqlVgqmNmiaxrNnz5Cfnw8HBwc8f/4cHTt2rPMYLperdtO1t7fH/PnzYW5uzt6Azpw5U2d90LKyMnbAyMrKgp2dnVFS5PLy8rB//3428geocOK4urqiS5cu6NChg84jM1oCSqVSLdK1rKxMKweDtsjlckgkEojFYtA0DRcXF3IPIRgNmqaxfPlyHD16FFevXtUoCzYvLw8pKSnNIutVoVDgyJEjKC8vh7e3N6ZMmVJn6SdTivTRFCYyWygUGrSRMjPXk8vlMDMzg4eHB/v+bd68GZ9++imAikCIV155BQcOHNBoTsjU+JXL5RCJRDqx9dmzZ1CpVHB0dASHw0G/fv3QrVs3cDgc0DQNiUTCRpnWJprQNI07d+4gKysLEyZM0Ild2tDUMk2YmtWVa+gTdAeXy0WrVq0gl8u1KuHDBOM4Ojo2uPQPh8NBx44dcevWLTx+/Bjt2rVr0HkqY2VlBYqiIJfLUV5ebnJOBIJ+YZy7mZmZanOP7OzsOoMB+Hy+SXxXKjdE1gUnTpzAokWLMGrUKAwZMqTR55NKpZDJZKzDlMvlYvjw4bXur015LgDsZ2Ys0cTZ2blOEbh79+5ISEjAo0ePMGjQIPD5fJSUlEAmk7ElshwcHPC///0PEolErUycrsjNzcX+/fuRl5cHHo+HoUOHsoEWYrEYbm5usLKyqlM00TYAxZDluVQqFesEriuLU6VSsWtkXc3xGJRKJcaOHYshQ4bgrbfeqre33vfff6+TyiiGQCqVQiKR1CvwpKSkICoqip3TAv+WpGP641X2czE+EU1FE5qm2ftITf4yJhNDLpfX6LdqzPtNURRcXV0bVFpUW1QqFZRKJfvb8fb2xrRp03R6DaacnSmMYZXRq2iiSVTM7t271f5es2YN1qxZoyeLjEdubi77w2uKDgigQvHPzMyEk5OT1qp1S4cpzxUfH4+wsDDMnTsX9+/fr/O7UFpailOnToHD4aBdu3ZQKpUIDAzU6roqlQoURVWbbFhZWcHCwgJCoZAtn8E8RCIRO7ArlUrs27cPCoUC/fv3V1PLdU1JSQlevHgBLpfLCkPW1tYoLCxka8JbWloiNjYWmZmZOHPmDORyOZtiTNCcoqIidoLh4eGh01r5lSPgVCoV4uLiqi0wzMzMyD2EYDSWLl2KvXv34vjx42wWLFARWSQQCFBaWor169dj0qRJcHNzQ1JSEj744AM4Ojri1VdfNbL1jYfD4WDatGmIj4/HkCFDas1arEpZWRkePnyINm3amLx4xOfz0aNHD73WPq8NZiHm6emp9t5SFIWpU6fi4MGD8PDwwI4dOxASEoLjx4/XG0QhkUiQkJAALpeLtm3bNnoeWVpayjaOZK7dqlUrREdHo7y8HGVlZbh37x4UCgU8PT3Zcg1VOX36NMaMGQMPDw+MHTtW7fUqlUpwOBy9znmbkmgik8nYiO82bdoY2ZqaYcrTMNnJTQ0ul9ugABDGAdBYp0Pnzp1x69YtxMXFoaysrNFzKyYIqqysDKWlpU3yMyE0HF9fX7i6uuLChQvo0qULgIp7XVhYGFvBwBTJy8vTS4AoswbWVSYXszbRVNzRNrPB3d0dZmZmJlsaOyAgACKRCCUlJYiKimIzY8rLy5GYmAgA8PHxweTJk/Vy/bi4OBw+fBgymQzW1taYNm0a3N3doVQq8ezZM1AUBQ6HgwcPHtR4X2fmG9qKJm3atEGvXr0Mkj1N0zQcHR1RXl5e53y0qKiIDRjXhWgik8lQWFgIoVCIp0+fYvPmzSgoKNBoDGlKfkpm7lffb7imXkUURcHMzIzt/VJZ7NA204SiKLRt25b1u506dQqLFi3C4MGD8eeff8LMzAwSicSg/cmys7ORlpbGjh26QCqVIiEhgX0f9ZHJr4nIaAwMv5psgZSUlLATckYxp2kaeXl5EAqFJvelqAulUonc3FzY29uTSHEtMTc3x+HDhzF37lx8++23tQ5KNE3j+vXruHnzJsrLyzFy5EgAFVGqT58+ZdXkyo9OnTqhQ4cOaufJzMxEQUEBPD09q0UVDBs2rM5oGgZGsCgrK8PZs2dx69YtDBgwAJ07d9bY0VYTOTk5yM7ORm5uLvv/ygMaI5qYmZlh1qxZcHZ2ZpV5sViMp0+f4vHjx2wNaaCi3ExaWho6d+7MlkMh1IyZmRksLS1hbW0NOzu7Rp+PqQdeWloKDofDpnxzOBz2PsHn88Hj8VBWVsZmTjWliRmh+VBfFiyXy8XTp0/xxx9/oLCwEG5ubhg8eDAOHDig8wgwY8D8RpnfqaZcvHgRERERyM3NNXnxyMnJySgZyhRFwc3NDQ4ODjVGmzFik6urK/z8/BAfH49evXrh4cOHCAgIqPW8AoEAHA4HSqUSUqm0URmWNE0jMTERQ4cORVxcHBuJSlEUrK2tUVBQgOLiYrY0V//+/Wu9Vw8bNgx2dnZIS0vDlStXMGzYMPYasbGxoGkafn5+enP2MudtCuW5EhMToVKpYG9vr5NxVx/s3LkT6enpmD59utZBOk0ZxjHSWAeAk5MTPDw8kJaWhqSkpBp7AWmLUChEWVkZSkpKmnSlAkLNVBawgYr7REREBOzt7eHl5YVVq1Zh48aN8Pf3h7+/PzZu3AhLS0vMnDnTiFbXjkqlQlBQEEQiEVuSUlcwY2RiYiLKy8sbVQFBqVSywWOMwzU2NhbXrl1DYGAg+vfvX+0YKysrtGvXTmP/x7fffovt27cbxV8ik8nA4/HqXKtzuVz069cPMpkMvr6+4HA4sLW1haWlJSuaNLQfcX1ER0fjwIEDAAAvLy9MmTKF9VUkJSXh7NmzCA0NhVKpxJMnT3RanmvMmDEYM2ZMI1+BZlTubVMXzGuXSCRQKBSNDvgpLS1FTk4OxGIxzp49i8mTJ8PBwaHZ+e4YEaK+ewHTe6NqryJGNCkvL1cLcmhIeS7g30o8mZmZSEtLY8uGVS4FVhtSqRQ5OTla96DaunUr0tLSMHPmTHTu3BlARUBTaGgoOnbsWGdlGW1h5tpMSUNXV1coFAo8f/4cL168wKRJkxp9DU9PT8hkMoNWCdAEIproGZlMxtaHtrW1ZZ25jKOYz+fDz8/PpG9iTMqZjY0NsrOzIZfLUVhYSBzTDcDBwQEnT56stj03NxdXr17FlStXUFhYyE4Mvby8IBQKQdM0/vnnH5SVleH58+fVjl+5ciW2bNmito1JoWMiDSqjqbPawcEBy5Ytw6NHj3Dt2jUUFxfj5MmTuHnzJgYNGoT27duz393S0lK2fIhcLmfTECUSCaRSKXr27Mme9++//66xEa6HhwfatGkDlUrFnrdqhKulpSV69uypdj4AuHv3LhITE3H9+nVWDGCcE/b29ggKCiJO+v9HJBJBJBLprEa2WCxmS6gxqa7Me+3l5cVO3FUqlVokc30pwgSCPqjvey8QCHDu3DkDWdN06NGjByIiIvDs2TMMHz6c/H7roLYFHJPNJJFIcOLECaxYsQLOzs71RjxSFAUrKyuUlJSgpKSkUaKJWCwGRVGwtLSs5hBhFkIFBQW4fv06gLr7mfD5fEyfPh07duzAH3/8wYomSqWSdWToDVGJdgABAABJREFUukRLZZj3malJbcpjfFMozeXk5IT09HSkp6c3OdFEJpOhqKgIIpFI69/HmDFjMHToUJ3YMXr06FrLyTQEkUiErKwslJWVqc2NCc2D+/fvY/Dgwezfq1evBgDMnTsXu3fvxpo1ayCRSLBkyRIUFBSgZ8+eOH/+vMkGcDx+/BjZ2dkQi8U672fl6uoKoVCI0tJSxMfHN6oEHpOdwOFwWGEhLCwMb775JsaMGVOjaKLtb8+Y5aNTU1MhkUjg5eVVZ3+9kJAQtb+Z3mZME3AfHx8AFSLHqVOn0LFjR42CLuujdevWcHFxgYeHB0aPHq0m7rRu3ZoV27KystiKGFVpaHkuU8TMzAwWFhaQSqUoLS1tdMnssrIyABVizNGjRzFo0CA246W+72VJSQlCQ0ORkpKCmJgYo5Rn1wRt5pk1ZZoAFXPIsrKyatnKzPjd0MwQxifCVNWoTzS5d+8eevXqBR8fH62bwe/fvx937txBSEgIK5qEhISAoig8efIEGRkZOqsOwLxPlXtGJiYmgsvl4tmzZ3jllVcanWFrKuUlq0JEEz2iUqmQnJwMpVIJgUAAd3d3dkFnb2+P/Px8yGQypKen19uE1phIpVIkJibC1tYWjo6OyMjIQE5ODuzs7Ex6gdoUOHr0KCZPnqxWi9Hd3R0+Pj4oKCjA8uXLkZ6eDgsLC9y9exeZmZnIzMxERkYG+//MzMxqWSZAxQ0/Pz8fxcXFjVpocblcdO/eHZ07d8b9+/dx48YNFBQU4OjRo7C3t2e/u4cPH2YnWVXh8XjsDRyoEEfMzMzYUm9MdF5jbrRMLfb4+HgUFxejuLgYL1++BFAhtFSO+Dt37hxUKhV69+6t114epg5FUZDJZCgpKQGPx2vwe8E42oRCoVoNf0C9JiWHw4G9vb1OomgIBIL2FBUV4fbt2wgICNA608Td3R2tWrVCamoqHjx4gIEDB+rJysYhlUqRlZUFDw8Pg91nCgsLUVRUBEdHx3r7w7i7uyM+Pp6NAFQoFOw9s7S0FCqVqkYnh1AoRElJCUpLSxvcrBr4dzFnY2NTTayJi4tjx+f//ve/CAkJYYWQ2pgzZw527NiBw4cPY/v27RAKhWw0mpmZmV6dvGZmZrC3t4dAIDBp0YSmaTaa3FRLcwEVv/HHjx8brQZ/YygpKUF2djYkEkmt5eTqQlcOTqbEja5gsnQVCgXKyspM1llOaBiDBg2qM5CDoiisX79erYGxKcMEnAwePFjnzlaKohAYGIgHDx4gNja2UaJJTaW5anOsNjVUKlWj+wJUzTTZu3cv/ve//+G1115rsGhSVlYGS0tLUBQFc3NzzJ8/v0b7mM8ZqBDDk5KSahzbGaGloQ2omd+dPucNUqkUPB5Po7moUCjUiWhC0zQrmpSWluLJkydITk6Go6MjZDJZvWOdUChEeHg4pFIpUlNTtV4rGArmN1xZ+KyNukSTyudi6NWrl1a90XJyclBaWgp7e3vY2NhUE01sbW0hFAprFXc8PT1B0zSSk5PZnoiaEhcXBwBq83lHR0d069YN9+/fx4ULFzBnzhyNz1cXzNy+f//+bFkzqVSK9PR0ODk54f79+ya7NmwsxGulR6RSKfuD8/LyUls48ng8tGrVCklJSWwmgKk6bwsLC9msBTs7O7VsE1MtMdAUiIqKwpQpU2BjYwMPDw/QNI0hQ4Zg8ODBCAkJYVP8gYpIM1dX13pT/ZOSkrBr1y6sX78elpaWMDMzg1wuR0lJSaOj3ng8Hnr16oWuXbvi3r17yMrKUhP7LCwswOfzYWZmBh6PBzMzM5iZmcHc3BwODg5q9SLHjRvXKFtqIjg4GMHBwZBIJMjLy0N+fj7y8/NRUFBQbTBlhJX79++jS5cu6N+/v86iAk0ZhUKBgoIC2NnZsROBsrIyZGZmwtLSstGiiY2NTb0DvSEalREIhJqJjY3F3bt3kZGR0aCFUEhICFJTU3H//n3069evUWUa9UVCQgIOHToENzc3vPnmmwa5Zn5+PsRiMQQCQb3iv6urK5KTk6stplUqFebMmYOYmBgcP368mnOdibQUi8VQKpUNeu+lUilbX93Nza2aw8LT0xNpaWnw8vJC27Ztq5Wwq4mePXvC398fcXFxOHLkCObMmcMurPQdLcaIUKZOSUkJioqKwOFw2MhdU8TDwwMAkJaWZtIiVE0w8xBd9mhrLNo6P2qCoig4OTmBoiijRq4TCJrAiCZMaWldExAQwIomjYFxklZ2imoimmRlZUEqlcLFxaXe8uppaWlYuXIlpFJpjVUm9AXT3J7L5WokXKlUKkRFReHJkyeYNGkSaJrGX3/9hfT0dLaqyODBg/G///0Ply9f1npsyMvLw/Pnz3H37l306tWLzeKpa37A5/Mhk8mQlZWF+/fv19i/1NzcHK6urloHx9A0jYCAAKSkpODFixd6DVxOSUmBTCaDj49PvdnZQqEQubm5KCkpadT4K5VK2Z5yTONzZnzUpP8bRVHw8fFBdHQ0kpKSTF400eQ7Xttv28rKCk5OTtVKQWk7v5ZIJCgrK2MDnqqKJvUJZ66urmymUXJyssYZyQUFBcjLywNQPYt5xIgRuH//Ps6fP68z0YT5/pibm7N+Pka0dHZ2xu3btxslmhQXF0MqlTYoY1jfENFEj1haWqJ169ZQqVQ1TpqFQiGcnJyQk5OD9PR0CAQCk0tHomkahYWFACpUUg6HA0dHR2RlZSE3Nxe2trZNalFlSgQGBuKnn35CWloaKIrCokWLqkWP8ng8mJuba1TXTyKRoHv37sjLy0OHDh0wefJkVu0uLCzUmShgbm6Ofv36Vds+bdo0nZy/sQgEArRq1arWSZBCocCAAQOgVCpx7tw5PHjwAI8ePULXrl3Rv3//OtOYmzoFBQXIyspCSUkJOwliHAwSiaRBGUlKpRISiUTtXAQCQT80NjKusdHuQUFBOH/+PEpLSxEZGVljlqOxSU5OBgCDZfBKpVKIxWIA0CiQZMCAARgyZEi1e21aWhru3r2L9PR09OjRAwcPHlSL6OTz+TA3N2fLGzZkrGIWVyKRqMb5ZqtWrXDv3j14eXmhqKgILi4u9X7XKIrCnDlz8N///hd//PGHQUWTpoK1tTXee+89ZGVlmWypC6Ci1AKHw4FEImlSgVEqlUqtHIk2PH36FI8ePUJwcDC6deumE3tKS0tx/PhxZGRk4O233260uEx6mRCaAiUlJbhx4wYA/YomQEUfy8bAZDtUHqM0EU1KS0shkUhgZ2dXr2jC4/Fw+PBhUBRl0Ax7Zk0mEAg0mitSFIVLly6hoKAA0dHR4HA4cHV1VSvR2Lt3b/D5fGRkZCA2Nrbe8o1FRUV4/vw5nj17hoyMDHZ7VFQU+vTpU+c9kaZpWFlZQSqVIi8vD7dv30bPnj2rvX9cLpd1SmsDRVEQi8WsKKOvuaJKpWLnQpqM+5aWljrpXVc5gODZs2cA/i0tp2n/N29vb1Y0MVVomoa5ublG762VlRVEIlG137alpaVOemdUFhOAf+8lmn4/KYpC69atERkZiYSEBI1FE2ZN5+bmVm3uM2LECGzcuBEXLlzQSWlPmqZrnNszv0tnZ2f8+eefjbpGUVER20fG1EQTUhhVD1ROs7WwsKjzx+js7AwrKyuoVCqkpKSolWkyBUpLS9mIRubHyDSBl8lk7MBM0I74+Hj8+OOPSE1NBU3T8PLyqlFYc3FxQUBAgEbp+AKBAMuWLQMAfPDBB5DL5WzmAPM5tnRommazd7hcLiZMmAAfHx+oVCrcv38f3333HZ48eWJkK/UDTdPIz88HoO7YMzc3B5fLBU3TbDq3NjCOCk0nLgwSiQQZGRkN7quiUCiaRPNfAkGXZGRkIC0trUFzBYVCwZZcaKhowpRrBCpq8JoiKSkpAKB1M8WGwtT2FYlEGkWVm5ub17h48fT0xP3799G7d28UFhYiNDQUhw4dUtuHmYcxi2JtkMvlrK3h4eE1zgns7e1RUlICsVjMlhvQhFmzZgGoWMAxzgjAMKKJSqWCWCzWumGnoREIBCadZQJULH6ZbNCmVKJLIpGwkdXafueSk5ORmJjICoq6wNLSEpmZmSgrK2NLZxAIzZ0rV65AoVCo9aTQNZMnT8aBAwewZs2aRp3H1tYWAQEBapmKmogm2vTRcHJyYtdXWVlZjbJXG5ggDk2djhRFsYIxI3BUzUiwsLBAnz59AACXL1+u83yHDh3Cli1bcOHCBWRkZICiKPj5+WH8+PFYsGBBvSIyk0GalJSE/Px8lJWV4dGjRxq9Fk1xcXEBAL1+Lsx7yOFwNJobcjgcNviQWVs3BOZY5lxOTk6sH0mTTBPg3142TJlzU8Ta2hoBAQEa9U66fv06iouLq/XwqYtZs2Zh9OjR9c4NaJquJppUzTQBKu4vaWlptd47GKGE6X+nCcz8oqb7be/evSEUCpGdna2TZvBM70AAeO211/Daa68hKyuL/W7b29sjPDy8Uf1ymbVDfYK0MSCiiY6RyWR48eKFxjc7iqLQqlUrcLlctWhFU6FylgkTrcDlctmG3bpQZ1sSubm52LdvH/766y/k5ORAIBBgzJgxmDNnTp0RfZpGFb/zzjtwdnZGXFwcdu7cyZbMomna5B0KhqCgoIAtTQJUZEnMnj0bc+fOhbe3N1QqlVrEia4apZsCpaWlkMvl4HK5allHTENgAA26/zCZdNpEd6pUKiQlJSEvL0/t89AUpVKJ+Ph4xMXFNWpiSSA0JaRSKfLz81FYWIjExESNFz8MTK1coVDYqDJ53bp1Y8sumloDzvLycnbRr+smtDWhUqnYeRJTxqIxuLm54cqVK5g6dSrkcjmmTZuGX375P/bOOzyqKv//73unz6RNei+QQBK69F4FFcSOil0s6Nq+tlX3Z1/XtS52UbErCopgBwRpSpMiBAghvdeZZDK93d8fec5xJplypyUDzut5fHbJ3Llz6zmf8ynvz7v08/j4eOTk5Ph1/zQaDQDQcdeV44JhGKSmpuKnn37CAw88wNvhm5ubiz/++AOVlZWQy+X9GjQxm82orKykklIRAoM4EUmCyemAY181X6vwiNMsmNKhLMti5MiRAIDDhw8HZZ9ms9lvmylChP4g1NJcADB8+HAsWbKEVpwEE1+CJnwaRLMsSxsw92cQ2rHShC+jR4+GQCCg9tPBgwfx6quvOm0zZ84cAH2DJjU1NU6JPGQ9mJOTg/POOw/33Xcfrr76aowePdqnapvGxkZs27YN3d3dbvu4EclRXxt290fQxNEO4jsvJScnIz8/3+/qQscESIVCgSeffBKtra24+OKLERcXx1t1hARNwrnSJFiYzWaXycXff/89fvrpJxoAcYfNZqPPPwkg5OXlobCw0CkoSyTj3a3diAKIL43gSaVJ7/6EQE8AZ/bs2QCATZs28d6nOxiGQWJiImJjY/H111/j888/p/1kyPPNMIxPQR9H3FWyhAsRea4gYrPZUFtbS8v98vLyeA2SIpEIWVlZYFk2rIIQNpuNLrJ79zr4O/R/CDYWiwWrVq2C0WgEy7KYMGECZs6c6TaaajabIRKJfFoARkdH47HHHsMdd9yBJ554AldffTUSEhJgNpv/9tJJHMfRxWZqaio6OjpgsVjQ1dWF3NxcXHfddejo6HByfG3YsAEMw+Css85CZmbmaS1FR6pMiMyeI3K5HN3d3dDpdD6XOhMjzBdnFcuyUCqVaG9vh0ql8llmpq2tjRrIdXV1yM/PjzSWj3DGI5VKkZubi7q6OhgMBlRUVCA7O5v32O6YkRTIWBYVFYX77rsvLGWGSPVmbGxsv9gpGo0GNpsNQqHQp8Dxb7/9hsOHD2PKlCkYM2aM02cSiQSff/45lEolVq5ciVtuuQV6vR533303pFKp3xlY8fHx+OWXX9DW1oaJEye63Y7MD3l5eRg1ahTv/ZNMVXL9jUZjvyx8iEPCbrfDbDaH3WKruroaW7ZswfDhwz1e93ChqKgICoUirBvW96Z3Zi1fHDPAg91vbdSoUfj9999pckegNnhnZydaW1sRHR0daQYfISy5+OKLYbfbcckllwz0ofgFH0kd4hTlmzCSnp6O+vr6fguacBxHnb++BE0UCgWKi4vpcQqFQqxevRp33XUX3YY4YLdt20blfqqqqvDpp5/immuuoY72qVOnYurUqX7LXRuNRojFYnR1dWH//v0oLCxETk6Oy20bGhpgMBiQlZXlk81HgibNzc1+HSMfSPDCF5stUEkihmEwdOhQGI1Gp98l0uV8+TsFTWpqamAymZCTk+M0t8bGxjrJRbmDBEGEQiG1n1evXt1nO9Jn2F2Az5+gCVEPcBU0AYA777wTl156KebPn897n+4QiURITU11UmxJSEgAwzAQCoWwWCy0r4k/9iOpZCHSieFGxMsUJIjsj8lkglAoRFZWlk9OCV81ePsDjUYDjuMgkUg8DvjBaHR4puLYyEskEmHKlCmoq6vD/PnzvTqna2pqYLFYkJub61Mw7eabb8b//vc/VFRU4H//+x8effTRgM7hTIFhGKrTHhsbC6FQSJ075HPHe9LR0UHLGQ8fPoykpCScddZZGDlyZFgFN/lgNptpwMhVNjRZzOv1er+azzEM4/N3SNBEq9XCbDbzniCNRiPN+hAIBLBaraivr0dOTs5pHdSKEIEPUVFRGDx4MG0kXlVVhbS0NMTHx3t9/gPtZ+JIOBq0wF/SXP1RZQL8Jc2lVCp9Gn/0ej3a29vR0NDQJ2gC9Ixtb731FpRKJV555RWMHz8+KMdaWloKhmFQXFzsdrv6+noAPc4es9kMoVDok41ntVohlUqD7oR2B2mQrdfrYTAYwi5ocurUKdTX1welEqk/GDRoUNg2fnWF3W6nzilf11KdnZ0wm8108R9MkpOTkZ6ejsbGRhw9ehSTJk0KaH/R0dFobW2FTqcLij55hAj+YrPZ0NXVBbFY7PTOzZ07F3Pnzg3572/duhWHDx/GhRde6PdYderUKbouJPbMxx9/jObmZo9VLL7IcwF/Ve6FMmhCstxZlqXVomq12mffzNixY1FWVgagp+q1d1+F8ePHQ6FQQKvVorq6GnK5HF988QXsdjuqqqqooz2Q3qB2u51mqpvNZnAc1ydx1xFyP3yVICf2SX9VmvQnxCYKpPI2Ly8PmZmZbit8woFTp06BZVlkZWV5XJMcPnwYN910E4YPH44PP/ywz+disRgmk6lPMIP4h/gGTbyti8j76C5oMn78eFx//fWYOnWqx/048v777+OZZ55x+9uOfRGDBXlnkpOTqR0SGxuLmpoavPTSS1TC2VeIHedLZVZ/ErG4gkRbWxs0Gg2dgAMJIhiNRtTX1w94fxOFQoGkpCQaRewNCRSdPHnybyGRw3Ec2trasHfvXhw4cMDps5MnT6K8vBy1tbVobm6GSqVCeXk53n77bRoFBoBp06Zh6dKlXgMmpF+D3W732TklFovxzDPPAACef/55mjkToceQIFJzcXFxUCqVbhee8fHxuPHGG2k5cVtbGzZu3IiXX34Z69atO62kK0iViUKhcGm8SaVSmqnrS4mzzWbz2yiTSCR0sUWOjw8syyIqKgrR0dG0mk+r1UYkKyL8bRCLxRg0aBA16JuamrxmyxmNRpjNZqotHSxaWlroIjscIE3g+6OfCcdxiImJgVQq9blhNnGkODZI7Q3DMHj22Wdx7NgxqiUO9CzEm5ubeWdIksxT0hA0Ly/PY9b7nj178NJLL2HevHmoqKig8mN8+PTTT5GRkYHHH3+c93eCAUnsCcc+e8QBFMz3LsJfsCyLwsJCDBo0yGd7mbxDpPdAsBk9ejSA4Eh0SaVSCAQC2sMnQoSBor29HY2NjV5la0LFU089hfvuuw+///67X98nDbqJ8gNh9uzZuPLKK3k56fmulfjM9f5is9nQ1taGkydPOq2jYmNj3VZmeCI7OxsxMTFUynn48OFOn4vFYvz+++9Qq9VQKpX47LPPYDabkZubi+nTpwd8PkCPrcpxHFiWpdcsNjYWOp0OW7du7SMZ6msQi9Df8ly+oNfrUVdXF3AVzKeffoqcnBw8/PDDAP567vlI+06cOBF1dXV9+uqFC+RcDAaD1wSC+vp6HDhwgNrAvSE+297XhW/QhPRTCzRoMnnyZHzwwQe46aabPO7HEdL/x1eVEH8wGo2wWCz0nSHvENAThJw4cSLmzJnjd9A0nKW5gEilSVAgJdNAT2Q+kCx0ovVPMvX64yVwh1gsdnoheuMYSGlrazsj5Z+0Wi0qKyvpf8Qxm5+fT6UoAGDdunVuJ6EdO3YgLy8PAP/eJCQIJZFI/JIduuyyy/D2229jxowZkEqlVJpKr9f3W/ZnuNDd3Y3u7m6kpqa6nVhdVVcwDIOsrCxkZWVhwYIFOHr0KA4ePIjm5mYcPXoU2dnZyMjI6I9TCBhyfu4yKVmWxaBBgyCRSHzKXmxsbIRWq0VaWprHRYY74uPjodVqoVarnTIWPCEWi5GTk0ON6vT0dHAcF5GriPC3gmVZZGZmQiaTobm52ev8K5VKcc8990CtVgetwV55eTk+++wzREVF4Z577gmJ09FX5s2bh+rq6n6RFiJjqj8Z6kTnvKWlBTabzeO1I/YDABw6dAhfffUVrrzySrAsi5SUFK92hUajQUNDA1349XaEOMJxHLZv347u7m5aGaHRaDxqvDuSmJgIhmHwzTff4N///ne/jctE0iLcgiZarZYuME+noAnpE2O1Wj0+L+GCv/LGoZLmIgwfPhwbN25ES0sLmpubA/odhmEQFRWFrq4uaLXasFQoiPD3IC4uDm1tbdBqtbBarRAKhfjss8+Qm5uLiRMnhlwud8iQIdi+fbvfCRvEwc4wjM92i6+VDenp6RCJREGdm2w2Gzo6OtDR0UGPQ6PRUJ+RP9X/5Hvjxo2DRqNBQkKCyzlr5MiR0Ov1+PTTT6HVapGSkoLLL788aPfcUWqRJGzExsZi79692LlzJ+2p69hnF/C90qSgoACTJ092K2sUDBISEvrIZPGBVHIJhUJeNh7BbrejvLwccrkc6enpOHr0KGpra6nviiT1JiUlefTvnQ6QwAPpqeEJb72KSLDD36CJUqmEUqmkSaTHjx/H2WefjSFDhuDXX3+l23kLmoSKmpoarF27FlFRUVi+fHlA+7FYLLSHXLDtpkjQ5AzHYDDQjPOEhISAy+9ZlkVycjIaGxvR0dHhtsojXEhMTIRarYZWq4XBYAhYizFc4DgO77//PpWpIAiFQmRnZ6OoqMhp27S0NJjNZhrBJwPv6NGjMWvWLJ9/3199ZgLLsti6dSt9dqxWK+rq6miZa7CcZuEOkW4imvO9y0w5joNKpUJHRwdyc3PdZglIpVKMHz8e48aNQ1NTEw4dOoQRI0bQz0+ePImWlhZMnjw5LKXq0tLSvGZS+vruchwHnU5Hr60/REdHQygUwmq1QqPReAy8OAa2HBcEvmZ4R4hwpkAkBWNiYpzGLnfSLQzDBFUiKC8vD1FRUdBqtThx4kRYOFfT0tJoQCKcUSqVkEgkMJlMaGtr47X4MBqNWLx4MRobG7F48WIoFAro9XqPdgKpkCXZ6SzLOtkvvSktLUV7ezukUimGDRuGqqoqGAwG3hKK8+fPx+OPP44ZM2Zg48aNuPTSS71+JxiQ+YtkqYaL3UyqTNLS0k6rxKLKykp8+eWXUCqVGDZsWNhcz2DDcRxkMlnIHEgymYxq+wfDVomOjqZBkwgRBgqJRAKZTAaDwYCuri5ER0dj+fLl0Gq1OHDgAM4666yQ/j6Rz/I3aEKclo59QxsbG/Hjjz8iJyfHo6SNTCZDUVER7wSzBx54AI888khQxlC73Y62tjZ0dHRQNRKxWIykpCS/EtdcMX78eNx3330wGAxYsmRJn8/NZjM+//xzqFQqxMbG4qqrruLtUzhy5AiGDh3q0SlKqujkcjl1VsfFxWHixInYvXs3GhoaUFVVRWXZ/K00WbRoERYtWuTTd3zFX3tboVBQ+Wm1Ws17P3q9HmazGXa7HQzD0MoK4q8gNhxxTp/OED8bn96/JLHdW9DEX3kuAjmOlpYWNDY29qm44BM0MZlMqKmpQXJystd3uqSkBE888QTGjx+Pf/7zn263O3DgAB544AEUFhb6HTRxVCIhvlFHu4lUtG/fvh0bN27EkiVLfJbpIhUz4ZCA54pI0CRAJBIJoqOjwXFc0CJucXFxaG5uptG8/s6g5jgOTU1NiIqKQlRUlEfDQCKR0EZJbW1t/aYjHgr0ej3NVGMYhhoBaWlpyMvLw+DBg5Gdnd3HQcwwDK6//vqgHkugQRPAuapFIBAgKioK3d3d6Orq+lsETTiOowETiUTismqLYRh0d3fDbDajo6PDq7ONlEGScmugJyNk48aNUKvVOHDgAObOnYsRI0aEnZMh2JlfJpMJVqsVDMP4XV3HMAyUSiXUarVXmS+SkZ2SkuL2XGw2G1QqFc12jhDh74CjM5tkiKelpVGD31HvOpgIBAKMHTsW27dvx9atW2GxWFBUVPS3mF9IL6bY2Fi/DHyGYZCWlobq6mo0Njbysh+lUilWrVqFiy66CDt27MC5556L9vb2PnYC6fFgNBqh1+thNBppc9DU1FSP94fIncydOxcbNmzA4MGDoVAo0N3dzauihmVZ6jD78ssvsXjx4n7pf+PYDN5kMoXNM3i6SnMNGjQILMtCrVZDpVIFvd9HsLBaraisrERUVBTS0tJ8nvdnz56NWbNmBaT9zuc3ggWpLiEyGeGYpBPh70FsbCwMBgM6Oztx9OhRaLVaJCUlUUm6UDJ06FAAPQlr/uAYNCEcOnQIN998M8aMGeMxaOJrdUow57/29naaNS+RSJCcnIyYmJigr3dWrlwJvV6Pe++9t89nf/zxB+3hO2bMGN4+queeew4PPfQQ/vnPf+K///2vy204jnMKmkRHR1OZeIVCgbPOOgv79u3Drl27Ag6ahDMsyyIpKQnNzc1obW1FXFwcL/ud+I6ioqKcgiYkocldRYU77r//fqxduxb//ve/cc011/hzKiGDvMN83q9AK018bUFAZAt7+534BE3OPvts7Ny5E6tXr8YVV1zh8XeOHDmCr7/+Gm1tbR6DJnPmzAHLsigtLUVtba1fvlpybViWpefnGDTRaDSoq6uD0WjECy+8gJiYGJ+DJizLho3t7opIT5MAIQ2IfG387m2fJCPJF63/YGE0GqFSqWhlgjfIIKTRaGgTn9ONkpISvPLKK6iurqZ/O+ecc/DAAw/glltuwdlnn41BgwaFvOQY+KufCRBY0ISwfft2TJ48GR0dHQB65OS6urqg0+l4T5ynIx0dHdBqtVRmy53BQZwBarXa5/JeoOd9nT17NmJiYqDRaPDNN9/gvffeo9r6A4nZbOb9TnIch8bGRpSXl/MyPkmmo0KhCMgZm5SUhKFDh3rMwiTN39VqtVstb47jUFlZiZaWlgHTWY4QYaBRq9WwWq1obGyk41l1dTVefPFF/Pzzz0H/vXHjxkEmk0GtVuPbb7/Fiy++iC+//NKvsTRQDhw4gD///LNf9P6DoelOgvS+aJ3Pnz8fv/zyC+2RcOTIkT49RyoqKlBZWYnGxkb6mVKpxOjRozFz5kyP+7/xxhtx7Ngx3H///Th16hQqKysB8M+0c5RK/OOPP7B69Wre5xYIDMMgIyMDeXl5/RKk4QPHcTRo0h9yccGEyGAC6KMhH04QO1av1/u9BmMY5rRpqi4UCiGTycAwzGm73opwZkAcigaDAb/99hsAYMGCBf3yLjlWmvgT8HQVNCFzOV8pSl/hOC7gsVQikSAmJgaJiYnIz89HbGxs0AMm7e3tNIm0qampj8N48uTJaG5uxieffIJ9+/bx2qfZbMZDDz0EoCd44g6DwQCbzQaWZSGTybB69Wq0trbiwgsvBABMmTIFLMuiqqqKZrv7K89F4DguJEFzg8EAvV7v93HFx8dDJBLBarVS/403HNflXV1dqKurAwAMGzYMwF+yRyaTidc5azQa1NbWUjsmnHD1DrvDW9CE7MNmszndr5deegkWiwWPPvqo233b7XaUlZWhqqqKJqi5G0skEgny8/M9SsKRYCCfa07GE2/2JanUAoBNmzZ53a8riL9QIpHgmWeegcVicepdSPyj5Jx3797t1++EM6eHlRhmcByHzs5OOuCEwuAmDkSSBd+fkEV2dHQ0r2wKqVRKF8mno7PyyJEjtCfJsWPH6N8TEhIC6k/jL8Th428/k96899572Lt3Lx555BGwLAuLxYK6ujpUVVU5NUAjBl1VVRWNFp+uGAwGem5paWkeI9dRUVEQi8Ww2+0+NbwlMAyDESNG4I477sCcOXMgFovR2NiIDz74AGvXroVarfb3NAKmvb0d5eXlvBrdMQwDnU5Hs5O94ZjREggsy3o0+knlG9AzJrlrMObYs6WlpSXSKDXC35Lk5GSIxWKqeQ30GNYGgyEkJflRUVG49dZbMXv2bCQlJcFms0Gn0znZDqTiL5SQXhzr16+nC6RQYTab6eI0EEmMjIwMJCUl+TyGTp48mTog8vLyUFtb67QAlkqlEAqFiIqKQmJiIrKysnhXQjMMg+LiYsycORMymYw6JvR6Pa9gusViAcdxsNvtqK+vxwsvvEAXkqEmLi4u4CB+MDEajcjJyUFMTAwyMzMH+nB8hizEy8vLB/hI3OPoJPKVUFaX9MZoNGLfvn348ccfA95XZmYmCgsLI33cIgwoIpGIvndkbliwYEG//HZeXh4EAgH0ej0aGxt9/j5xuDqusb05Vh1pbW1FTU0N73WGSqXCqFGjMGLEiID8JLGxscjOzkZqamrIqumTkpKg0+nw2muvoaSkhCZoOPq8hg4divr6emzdupXXPsViMXbu3Amgp4LEnU2g0WgA9Kz1XJ1fbGwsRo4cCQDYtWsXgB57JzU11edgF8dxGDx4MKRSqddnSKPR4PHHH8eBAwd477+trQ2VlZV++wCIXD/Qs5b3ZkPbbDbaN0ehUNAqk8zMTGqnkoQSjuN42XO5ubkAenpZhBuO8lze8PZuCwQCJCcnIz093em5k8lkXv1wRJLfYDDQ77qrNCGVFJ58qyRoQhKWPEFsMz59ecjY7G/QhKwfyTMkFAqdfKTkPhCp3N27d/tk++t0OtTX1w+oz8wb4bGyOM1obm5GfX097WUSCqRSKTVG+vMBIgEhwDdnABmIuru7ByTD1F8OHz6Mb775BhzHYcyYMTjvvPMG+pBoyW2wtOeffvppiMVibNy4Ee3t7YiJiYFcLodYLHaabGw2G0wmE3Q6Hbq6utDc3ByU3+9viLOGZLx605F2dLZ3dHT4vZAWiUSYPn067rzzTpx11llgGAbHjx/nnSESbGw2G32X+ToUyATorRSV9DPxZd/e4DgOGo2mzySr0Wig0+monI0nlEolzX6rq6s7o8q1I0TgA8MwtGS6vb0dVquVGtahynaPjY3FjBkzcNttt2H58uVO0hZ6vR4ffPABXnzxRfz4448ha4DY2dmJ7u5usCzrJJ8YCohNplAoAmpYOGzYMNx+++1eqz9cMWLECNqou7Oz02msy8jIQGFhIXJzc5GamoqTJ09i7969PvVBYBgGmZmZTpmSpJmoO3Q6HaqqqgD8pXl/7Ngx/PHHHz6f35mATCbDkiVLcM8994StRrMnyEK8urq63xuX8oU80/4kb+zfvx8rVqzAjh07gn1YfTAajdi4cSP2799Ps3/9RSKRnJbPU4QzD+InIHPE/Pnz++V3xWIx8vLyAPgn0SUQCCAWi52qEn0Jmuj1enR3d/NORFEqlRCJRDCZTPjggw98Pt7+RiwWY8KECZgxYwYOHTqEffv2Yd26ddTOmDNnDgBg586dvOeGSZMmQSKRQK/XO6l6OKJUKpGSkuJx3T516lQAPfe9tbUVIpEIiYmJdO3HF4ZhaL82T4mFHMdh8eLFeO6555yaensjGE2t4+LiIJFInJKg3EECeOS57i3NBfScsy99TUjQxN39GkiEQiHEYjGv6yuVShETE9Onr60jxO/ma9KNo0yYt6AJH3wJmvCtNAH+Gpt/+eUXv/y03p5nElwia1C1Wu1Tzym9Xo/Ozs6w7tcWCZr4SEdHBx24Qp3lEx8f38exHWq0Wi1sNhsEAoFP5yeXy5GRkYEhQ4acNsb8oUOHsGHDBgDA2LFjcf7554dFHwQSNAmWhnRubi7+8Y9/AADuvvtuZGZmYtCgQRgyZIhT9inLssjNzaUOJ61We1o6nUmvDaFQiIyMDF73lOiFOmYQ+0tUVBTOP/983HrrrZgxY4bTZLZnzx6cOHGiX6rHOjs7YbfbIZFIfA6aeMue0uv1sNvtEAgEQdOfrKqqQm1trZMMjM1mo1UmSUlJXmVXSM8ZsVgMi8WChoaGfs0mjRAhHIiJiYFUKoXdbkdDQwPa29vBMAw1xkMFMZazsrLo3zo6OiCXy2E0GrF//36aHRhsiBxienp6SG0mjuNo0CRYiQ3+YrFYMGXKFHz66adO5+y46OM4Drt27cKmTZto1Yg71q9fj6VLl2L9+vUAQKsjGhoakJub6zGRxmQyoaqqivZZyMrKwqpVq3Ds2DFMmDDB/5P0AVIt2tTUFFbjfjjYlf5AHFE2m40Gw8IJs9lMHRb+VIU3Nzejq6urX+zcuLg4jBo1CkCPZG6wCKfnPMLfj9jYWJSUlODpp5/GmDFjPDolg827776L/fv3Y/LkyT5/NyUlBUOGDHGaw30JmvjaR4NhGNx+++0AgLffftuv6kuz2cxbVilQBAIBtSMsFgt++uknlJSUUDWO4cOHIyEhATqdDvv373e7H6PRiO+++w4cx0EoFKKoqAgAcPToUZfbSyQSWn1rs9lw1llnYdasWbQCBeiZl0aMGIGxY8fSrHZ/IQlGnoImr776KrZv3w673Y5Zs2bx2i/prQYgoDUywzBITU1FamqqVwd876rL2NhYTJ48mcoyEXzpa0IkOsMxaJKWloYhQ4a4VZ9wZN26dejq6sKiRYt8+o39+/fjyiuvxCOPPOJ2G3IdXQVgXd0ztVqNhoYGt8mppP9dsCtNxo8fj9jYWKjVar8SmRzP86KLLsLSpUud3huWZan/lySC+SLRFYwgY6iJBE18oLu7mzrwUlJSfI5q+0pMTAwKCgr6dWFOMtP90clUKpWnTcDkwIED+PbbbwH0DCQLFy48bRe2fHjkkUcQExODw4cPu9UYZ1kWUVFRiI+Pp5M8Xx3zcEImkyE/Px/Z2dm85c0EAgHNbAlWZUhKSopTA1Cz2YwtW7ZgzZo1eP755/HZZ5/hjz/+cDIGgwXHcbQfUnx8PO9nmxhbRqPRo1EvEomQlJTk0769QYK0jn2c2traYLVaaSYRHwQCAe0x1d3dPWCVPhEiDBQMw1DnhUajgVQqRWZmZsALTH/IysrC//3f/9Eqzj/++CMkTkoSNHEM2ISC7u5uWK1WnxNLPOG4wPaFhQsXoq2tDe+8847bbWpra9Hd3U21lD3xww8/YPXq1XShQ4ImZWVltLGoOyQSCeLj4xEXF4f8/HzI5XJcdtllKC4u9vm8/IVhGDQ2NqKjoyMkUnS+YLFYAqpcDQcYhqHPTCgr6/2FOInkcrlfaw+y4HdsZhpKpk+fDpZlUVFR4TWA6Y2uri5UVFSgtbU1SEcXIYLvsCyLLVu2AOg/aS7CrFmzaE+1YOBP0MSXCrwrr7wSsbGxqKys9EsiR6VS4dSpUz71QPOHFStW4Oabb6ZOUlLFN3bsWCqNRXp5AvBYffHcc89h8eLFWLZsGYCeClkAtArCE93d3Th06BC2b9/ex5F60UUXYdGiRdQGMxgM0Gg0PmfQk7HfnbLG3r178cADDwDo6W/Bt7G1Y9PsQGXWo6OjkZiY6LUCQiQSQSKR0Pt1xRVX4Pfff8cTTzzhtF1cXBySk5N5vTek0uRMUW7wZMNarVZotVqnpNG2tjZ88cUXHt9XV0GT1NRUFBYWulyPaLVaj/1ZSXJbXV2dRztWrVZT/wafShOhUIh58+ZBKpX61VspPj4eCQkJEAqFWL9+PVavXt3H7iLPOglk+xI0IS0BPAVN3nzzTZx33nn47LPPfD38oBAJmvDEaDTSkuq4uDi/Sq58hWGYfnXk22w26sANRKeb47iw7odBGkYDwMSJE3HuueeGTcDEaDSGJPMtMTER//znPwEAt99+Ow4ePOhxe3L/T8egCdBjPPiaeZiQkICYmJiQNQG0WCwYO3Ys4uLiYLPZUF5ejh9++AH/+9//sHLlSvz5559B+y29Xg+TyQSGYXx6l0UiEYRCITiOo9qorhCLxUhJSQmqs0GpVNJyaYPB4NRjJi0tzaeSWZlMRqW8Ojo6gqKpb7fbodPpTiv5wQh/X6Kjo2nD4Ozs7AFtRM2yLMaOHYvY2Fjo9XocOXIk6L9B7LPs7Oyg79sRUmVCqhMDZc+ePXj22Wd5a4M74ijj6o7jx48DAAoLC70u3olM0YwZMwCAVmp2dXX1kebiOA7t7e1O2YppaWnIzMx06cDuj+A1wzA04cPT/NUfHD9+HK+//jo++eSTAT2OQJk6dSruvPNOpwSQcCEQiVC73U4DDnz7/QSKUqmkTsdAq03sdjsMBoNXybwIEULN22+/jT179mDZsmWndZDYl6AJqez0Za0ul8txww03AOhx/vkKmdOCVd3vjp9++gmrVq2i6//4+HiMHDkS5513npOvhMwJ7myXiooKPPvsswD+CqhNmjQJU6dOdTnmtra2orOzk66xyPpPKpX2caT29tnU1taitrbW52QJchyuKk1UKhWWLFkCi8WCSy+9FHfccQf0ej2vPjaOWfPB9C9xHOd2DZqYmIiCggKvlRe+BE3S0tIgEolgs9n86h10OqHRaFBdXe3UE5Ekx3vyhbkKmrz88ss4ceIELrvssj7bk7HDXcA1OTkZcrkcHMd57CVTX18PiUSCtLQ03jbQq6++CpVKhauvvprX9o7ExcUhLS2NvpdCobBPUj85NxIcLS0t5bVvjuN4VWbt378fP/3004BVPkWCJjywWq2oqamB3W6HXC7v0ygo1BDnYaglfSwWCyQSCcRisd+ZG6SMv6Kiot8b2POFYRhcfPHFuOCCC7BgwYKwCZgAPQ6Zuro6Xo27feWee+5BZmYmNBqNU1Crubm5z8KLTLp8m7+GA2azGd3d3X4b7WKxGNnZ2UHr0dEbhUKBc845B3fddRduu+02zJ07l2YhNDc3B7VxOZngY2NjfcrAZBiGd1+TYCMUCulzp1KpwLIs8vPzkZaWxqv8tjdKpRKpqakYPHhwUJybjY2NqKqqwokTJ6jRECFCuEKqTfbv34+ysjJe5duhhGVZKtO0d+/eoDpX9Ho9XeiEstLE8Zi99crii1wuh9VqDTh71JXzlOM4qilcWFjo8fvNzc0oKysDwzBUM1wikSAjIwM5OTno7u5GY2MjGhsbYTabUV1djebmZicJRFe2lM1mw7XXXov09HS/tOd9hdiuAxk0sdvttOkt0d0/XVEqlQMuQ+cOkUgEkUjkVz8TlUpFq1iD9S7zYcaMGWAYBuXl5QFV75AMa6PReNrY6BHOTAQCAdLS0mA0Gvt13aBSqfDaa6/1yaT3htlsxokTJ1BRUeE0p//vf//D6tWreclJ+irPRVi+fDkA4Pvvv/fJ8eeYyBbqimFyXMR5OXHiRFx00UV91lGzZ89GVlaWS9uS4zjcddddMJlMmDdvHpYsWQKgJ2lz165dtPKEYLVa0draivr6ehoUcFzHuqOlpQVffPEFTYzz9X64k+ey2+247rrrUFtbi/z8fLz33nu4+uqroVAosGbNGq/7JT6WYAa4dDodysvLvQYvGIaBxWIJSvIyy7KYOHEipk6dGlQfRaBotVqcOHGCVph7oqGhAePGjcOFF17ocTvi8Hf0XZJnz9Oa31XQhM/vuAuaMAyDu+++G0888YRH22bEiBHQ6/U4fPgwr98FeuSLAx0/yLuSnJzcZ0yIjo5GfHw8Ro0ahVOnTvFODjGbzeA4zqnnjivIs5+RkeHn0QdGYDVjfxMMBgM1rrOzs4PigPOFhoYGdHV1ISEhwWsj5ECQSqXIz8+HzWbzO5DAsiwYhgHHcWhtbaXyDuFAZWUl8vLywDAMBAIBRo8ePdCH1AcyKYXCcS+Xy/Hbb7/hww8/xKRJk+jfn3jiCXz44Yc455xzcOmll+L8889HbGwsMjMzoVAoAi4t7S/a29uhUqkQHx8f8kbAgUCcmcnJyZg2bRp0Oh1OnTrl5FypqqpCW1sbxo8f79e7SBYu/gQb5HI5DAaD23HOaDTCbDZDoVAEXY4vPj4eXV1d6OzsRGpqKoRCod+9fRiGCVpFoNVqdco0cTSENRoNuru7ER0dHZJrEiGCv4hEIuTk5EAoFPZbNrUnzjrrLGzbtg1tbW1obW0NWqUaCTgkJCSELOgN9IwpOTk5tG9HMCBzVXNzM+x2u8/2ZUNDAxYtWoSamhq0trY6zdft7e3o7OyEQCDw2s+GOPlHjhzpVJ1444030grAiooKMAxD+2WxLOtVplYgENCkn5deesmjlFgwIAvCgax2LikpQUdHB2QyWb/1c/k7QrTe/QnAEjkWVwv/UKJUKjFq1CgcPnwY27dvx9KlS/3aj1AohFQqhdFoRHd3d78GfiJE6A2Zdzo7O/0KYvqD0WjEXXfdBYFAgEceeYS309JiscBms8FqtTqtryZPnsy7P4o/8lwAMHToUMydOxdbtmzB6tWr8fDDD/P6ntlsht1ud6qmDAV2u50GTeLj42EymdwmwBYWFqKmpsblGvXbb7/Fjz/+CJFIhNdff93rOpZILUqlUnofyZrLk1rCnj17cPLkSWRlZSE2NjZoQZPPP/8c33//PSQSCdauXYvY2Fg6xvLJng9FfwaWZWEymWAymZCYmOjk/DaZTBCJRHQu27FjB+bPn4+zzz4bP//8s9N+OI6D2WyG2Wz2KrsK/GUbhhPkHeajItHU1IQDBw64lWAjkOfOYrFQB75jpQn5W2+EQiH1EfPBW9AEAP7zn//w2hfLsn73kSK9f/lAegVLJBKPsqaO/hpf/C98K7NIokkkaBLGREdHIzc3FwKBYEAcyLGxsdSRmJKSEnIDPxCnH2kEW1lZic7OTiQmJgZ9gtdqtWhpaaH/JSYmYvr06fTz999/nxpDjkGc+vp6jB07Nmz7l9hsNppJEirHT3Z2Nh577DGnvx07dgwmkwkbNmzAhg0bIBaLMX/+fLz44osYOnRoSI4j2NhsNpoJ4E+gwBGTyQSVSgWxWOy3w94XFAqFUwDPZDJh/fr10Gg0OHnyJC644AKfz2nw4MHQ6XR+PUcJCQkeJzuio6lUKoM+ccnlcohEIlgsFnR2dgb1+vtiIPSGGExSqRRZWVlOi7Ouri50dXVBrVbTSp3k5OSQOm8jROCDVCrFnDlzAIAuMELZJJ3P8Vx88cVITU0NSAK0N4MHD8b9998fkv5QrgjmNYyPj6djXnt7u88LoNTUVNTU1ECtVvdpiksqO/Ly8rw6lHpLcxGIrSSVSulxchwHuVyOjIwMXk6Bf/7zn/juu+/w0Ucf4amnngppAM+x0sTdIjeU2O12ei2nTJkS1k0t+dLS0oJt27aBYRiaMRxO+HOP+7ufiSPTp0+HTqfr8675SnR0NIxGI7RabSRoEmFAuPrqqyGTyWjfB41G41fw3x+ILI1Op0NVVRXv9SpxrAcyj5O1hD/Sv0899RTuv/9+zJ8/n/d3HCsXQjmnNTc3w2w2QyAQUNvCXdCEHIfdbodKpYLNZkNycjIMBgPuvvtuAMD999/v8r7o9XowDEPna2K7OfaJc+yx646ZM2fiyJEjUKvVfgVNCgoKMGXKFAwZMsTp71dccQVKSkowaNAguj4n58GnYjYxMREKhSKo60CZTEb9ga2trbRJO9AjT2Y2m5GbmwuFQoGSkhKqjuOK8vJycByHIUOG8A42Bhu9Xo+Ojg6IRCKfbULyTPJ5h/nK7pF92e122Gw2CIVC+uyRyh1XVRq9q4n1ej3y8/ORmJiIvXv39vkOn6BJKPnmm2/w2GOPYfr06bxlAjs7O9HW1galUkmDT8G048n99OYvHuhKk35Jr3nzzTeRl5cHqVSKsWPHeo1abt++HWPHjoVUKsWgQYPw9ttv98dhekShUIRcR9Id0dHRVFMwVD0mjEZj0LT65XI5dfL6IzPFcZzTxMdxHDZv3oxPP/0UL774Il566SV8+umn2Lx5M44cOULlJwjNzc1oampCY2Mj6uvrUVdXR5suhrMjk1SZEMmB/mLHjh04cuQIHnvsMRQVFcFsNuP777/H4sWL6TGFu06tWq2G3W6HRCIJ+B7rdDp0dHSgvb19QM5bLBZj6tSpEAqFqKysxJtvvokjR474dCwsyyI6OtqvhQvfjKBQZJM5VocEqxTYaDSivLwcVVVVft9P0sdAqVT2yYQg8iVisRgcx0Gn06G2tjYofVQiRAgGGo0GZWVlXjOt+oPCwsKgBkwICoUipJW4njIuA4FlWXrc/kh0CQQCzJs3DwCwceNGp8+MRiOEQmEfh4Ar3AVNHPeVmJgIgUCAlJQU5OXl8Q4ITJ06FVOmTIHZbMYrr7zC6zv+IhaLwbKsk0Zyf+JYZTJ+/Ph+//1QwLIsSktLUVZWNmAL/d6YTKaA7DOZTIasrKyQ90ByRXx8PJYuXRpwJT6xwbRabdjb6BECx1dfSqjp7u7GmjVr8N5774FhGIhEItjt9n7rs8MwDJ3bevsBPEHGMMd1dldXF9599118++23vPYhFotRVFTkVfbSFVOmTME555zj0/qsv6S5qqqqAACZmZmQy+VISkryWM1HesQ2Nzejra0NnZ2deOaZZ1BTU4Ps7Gz861//6vOdK6+8ElFRUVi3bh2AHic1WVc6Bk34yHPFxcXhrLPOonO9r0GT888/H7/99lsfiTehUIj//ve/uOWWW+jfyL32VGlCeo7I5XIkJCQE3W9Ikmq6u7upooTFYqHzIfm9kpISAMDw4cP77MNRAskXGylYcwypWiA+TX+SnVy9w+7gGzRhWZYGQ4mt71iJw9f/2t7ejqamJpw8edLl/SfH7KlSxmKxoLy83KP01g033IAlS5bQe80Xs9mMkpISn3pLOlaCeEo4If5bk8mEw4cP49JLL8W1117rdf+JiYkoLi72GIgxGAzUFzNQajIhD5p8+eWXuOeee/Cvf/0Lhw4dwvTp03Huuee61aGrqqrCeeedh+nTp+PQoUN45JFHcNddd+Hrr78O9aGGLQzD0Cwi8sAEE47jUFdXh9LSUjpxBQp5mRwH9t58++23+PTTT7Fq1Sq8+eabWLFiBZ577jk8/fTTWLVqFd2OYRgcO3YMFRUVdF8JCQkoLi7G7NmzMXPmTKf9XnHFFVi6dCmuuOIKXH755bjssstw6aWXYtmyZZg9e3ZYVpkAgTW1DASGYTBixAg8+eSTOH78OI4ePYr09HSUlZXhq6++olJR4QrHcbTJbEJCQsD3Ny4uDgKBABaLpd8ylx1hGAYTJkzArbfeioyMDJhMJnzzzTdYu3Ztv+oFu2o4R4wzIHTPaXx8PNLS0vwuOe2NSCSiJc3+6NwbDAYYjUanUl1HoqKikJ6ejiFDhqCgoABCoRA2m21Anp0IwSfcHBV80Wq1KC0thdlsdkq6GOgG2Y6E07F4o6WlBWVlZSFpaB5I0AT4q8lq76DJvHnz8OCDD2LUqFEev08yRBmGcaraJXzwwQd4/vnnYTQaUVRUhKSkJJ/n2QcffBAA8NZbb4V0bHSUL+lvia4zscoE6FnQxsbG0p6FAw3HcaioqMCJEyf8DmROmTIFN954o9d3oz/w1xkll8vBsqxTlXqEMxNffSn9wa+//gqLxYJBgwahoKCAl/5/sPEl+5/gKku9srISt9xyi5OT3BNE5jvQ9SbfIHR/9zPJy8ujCRJxcXFuz7OtrQ0vvPACvaYdHR2YPXs2CgoK8Morr7hcJ8bFxYHjOBw9ehRAj+/DbrdDKBT2OT8iZe2J6dOn0+sYyLNnt9vx9ttvu51TyLNWUVHh8r5xHIePPvoIzz77LNatWxeSQLZEIqE9xlpaWmiiHtDzbBClGHJtXQVNyH4A8Jo/N23ahJycHJxzzjkBH7/VakV1dTUqKipo0NBsNvuctE2uP58qmdbWVgDegyaO+yP7Z1mWJoHztVvb29sB9NhNrt4bx3HDXZBv8+bNKCgowHXXXef2d7777jusXbuW7sNut6O0tBRVVVUer+fgwYMB9Ix5fCHPiUQiQXd3N1UV6o3RaKTHYLfb8fXXX2PDhg28kkgdg1auINJccrncqyxwqAh50OTll1/GsmXLcNNNN6GoqAgrVqxAVlYW3nrrLZfbv/3228jOzsaKFStQVFSEm266CTfeeCNefPHFUB9qWEOCJnq9PugLQaPRSB2hnibktrY2HD16FLW1tbQE1x0SiYQec3V1NTZv3oyffvrJaRsycNbX16OtrQ1dXV0wGo0uMwSnTZuGRYsW4aabbsLDDz+MO+64A5dddhlmzJiB/Px8p22JATd06FAUFhaiuLgYw4YN45XVRaQnBoKBCpr0Zvjw4Xj//ffxwgsvYNGiRdDpdOjs7AzbTLbu7m5YLBYIBIKgZDCzLEuNkkAdZHa7HZ2dnaipqcGpU6d8encTExNx4403Yvbs2WBZFidOnMBbb73lMYvLarXi1KlTaG5uDuh+dXZ24sSJE30azpFnVCqVhkyqkGEYJCQkBM3hJBAIqNHjT9DZMQPK2zk7GrQqlcrn34oQXoSjo4IvpaWl+PLLL/H555/Tsn7grwXEQGI0GrF69WqsWLHCydnnWBXW1tZG7QFP1NfX45NPPsHevXtDdrxWq5WOu6GYn4MVNNm3b1+fMU4kEnldWAoEAmzevBm1tbUuF0JkLK6rq/Pr+ICejM7CwkKa0RtK0tPTMXTo0JBUNHmCyDieSVUmQM+cTOzsU6dODfDR9DgQib7/QMoNBopOp8PPP//sd1IgSeSIjY0N22SwCMHBV19Kf0CC9GT+IeNtd3e3zxn//uJrpYlKpaK2uWMWOHF08nGsBovHHnsMGRkZvDK+ExMTkZSU5FZuKViQauTekkMEm82GpqYmag8lJSVh06ZNWLhwIex2O4xGIyZNmoSSkhJccMEFLvcxYsQIAH9VQ5B9RUdHO41j11xzDVpaWvDpp596POaYmBgq16NSqfxa+3Ich//85z+47bbbsGDBApf7INU3FovFZfJAfX09ampqoFAoIJPJnAISwUx4Jkkrer0e3d3ddI1KbFO73Y5jx44BcB808aXSRC6Xo7a2FuXl5QEdN0nQtlgsNLmFzN+++jVDIc/luD/He1dVVQWLxeKyYru1tRVlZWV0/ACcgyauIPZUUVGRW9vcMbDh6lkkMukAqG1GKniMRqPHKjbybjc1NfFKtnD0yYrFYvznP/+B2WzG448/3mdbcv2sVitGjBgBuVwOjUaD48ePe/0db6jVavquD5S9E9IGHWazGQcOHMBDDz3k9Pf58+fj999/d/md3bt399F5XLBgAVatWuWy+SbJICacqdm9IpEIMTEx0Gg0UKlUQS1NctSSdNfPpK2tDatWrXK61qQJ6FVXXUV7D7S2tqKzsxP19fVoaGjAyJEjodVq8ccff8But2P+/Pn0N+bMmQObzQaJRAKJRAKxWEz/f2+H6bhx44J2vu7o7u6mE152dna/NnS22+0h72fiCwsWLMCCBQuogWQ2m93qOQ40ZIJSKpVB09GNj49HW1sb9Ho91Go1oqKi/Fqc19fXO41JTU1NyM3N5T3gsyyLGTNmoKCgAN988w2SkpKoJIPBYEBVVRXi4uIQFxcHmUyG7u5umEwmMAwTkN6kQCCA3W7vI5EVSmmuUKJUKmnvkbS0NJ+eE3LN+d4zpVIJq9Ua0Rg/A3B0VADAihUrsHHjRrz11lt49tlnB/joPFNRUQEAtAF4cnIyurq60N3dDb1eH/LFtyckEgm6urpgNptx8OBBTJ06FSaTCdXV1dTZotPp0NLSAqFQiLi4OLfjWXV1NSorKyGRSDBx4sSQHC9JGpDJZCGRac3MzMTQoUP9lgrKzMxEcXExjh8/jl9++QWXXXYZDAaDz/O1u8SSzMxMnDp1isqc+gPLsnjggQewbNkyvPfee7j33ntDtvAZKCldpVKJf/zjH2hvbz9jqkwIBQUFOHDgANVCH0gnvaOTyJ/jIAlf/dkA3hVGoxH79u0Dx3GYMmWKX+u6gdL2jtB/+ONL6Q/fSO+giVQqhVQqhdFohEajoQlEocSXoIndbqeORqVS6ZSt7ItjldDe3g6dTof4+HgnWSm+lJaWoq2tDW+99ZbX4Fd0dLRfv+Er9913H2677Tbqj7BarTAYDBAIBDAajWhpaYHNZkN3dzddF82cORMfffQRysrKUFhYiI6ODqd+G70hjnxSDUGy+gPpRzp8+HBs3LgRXV1dSEpK4t3fhuM4DBo0iFbYAMC1117rcl5hWRZDhgzB4cOHcfLkyT5O9EOHDgHoCQqlpqaivb0dGRkZUKvVePXVV5GWloZRo0ZRZ7K/iEQiJCQkoL293UnNhfiOamtrodVqIRKJUFBQ4HIfxFnPp9KE3Mva2lrYbDa/fWPNzc3Q6XRgWZb62GQyGSwWCwwGA2/fF8dxPlWa+PJuK5VKKBQKp/vjaS1PZHsdAxt8ArDe7MOcnBwwDAOtVou2trY+1VYkgJWamurkEwJ6ApvV1dVuA5/x8fHUn1xdXY2ioiKPx0KSyR1l3YRCocskUlJFw3EcOI7DhAkTsG3bNuzevdttAM9oNKKxsRFyudyj32r8+PHo6uoaENldQkgtxvb2dthstj6ZaykpKW61tZubm11ub7VanSJ5hGeffZZm2sTGxiIrKyt4JxBmEAMk2NUQJMrvbsLS6/VYvXo1TCYTYmNjERcXB5ZlYbfboVarnQaXP/74A6tXr8bOnTtRWVmJbdu2Yf/+/SguLsaiRYucjnv48OEYNWoUCgsLkZeXh4yMDCQmJiI6OnpAGlMRY0qn0/V7Ni6ZjHs3mR5oBAIBvb+h6qcTCDabjZYhBtNAF4lE1KBuaGjok1ne3d3tNFGSEtnGxkYnIyQmJgZisZiWaep0Or8k8NLS0nDLLbfg/PPPp8ZcU1MT1q5di3fffRcvvPAC/vvf/1L9y5aWloCygsk9t1gs1DjhOO60DZooFAqqt+zP4tEXZ6lIJEJ6enpYBhgj8Ic4KnoncXhzVGg0Gqf/BgKbzUZLr0kWkkQioZmg/vQaCyYMw9AAx759+6gtYbVaIZVKkZaWRhfkVqvVSQqB4zi0t7dTw5mMzaHsTUBspFBVLiQkJOCKK67AlClT/N6Ho0SXzWbDK6+8wksKq66uzmuvGxJMCSRoAgBXXXUVXnrpJezevbvfne7t7e19+iPef//9WLhwIebOnYspU6ZgzJgxKCoqwqOPPur377AsGzRpyXCCyLV0dnaGRKLOFwK1Q1paWvDvf/875BVP3khISKCOBCLrFiFCb/zxpYTaN1JRUYGKigoIhULMnj2b/j0pKQkZGRn9Jp/iizwXy7LIyclBSkoK0tPTneYgf4ImBoOBJqr5w+233w4A+OSTT8Iq4Zf04wB6KjdqampQWVmJxsZG2Gw2iMVipKWl0es3Z84cAMADDzwAAF6vCak0qa2tRVdXF3JycjB06NCAEkaVSiWys7MxatQomijEB4ZhnNb3119/PW644Qa3219wwQW44YYb+szxZrOZVneQQDZxjDc0NIBlWTQ1NeHnn3/GSy+9hC+//DIgOzwpKQk5OTlITEyk9jG5fqSCp7Cw0G2yJzk2Ps9ueno6hEIhrFar39XQjpURmZmZdD1N/tcXeUm73Q6FQgGJRMJL8YL4c/jYZVFRUYiPj+e93if+Hke/nbdKEz5IpVL6HLmS0SJBE8egmGO1jqcqfYZhaECFj9yq4zl6s9sZhqH3xGq1YvLkyQB6CiLcYTQaodfrefexHciEpJBWmhB6X2RvWUqutnf1dwB4+OGHce+999J/azSaMzZwolAoUFBQENQHhlQQAO4XIHa7HXK5HBzH4eabb4ZcLqfN3jo7O50GF6lUiuTkZKSkpCA3Nxd5eXmnRca1xWJxWogFuujlOA5ms5nXIEMQi8VhFTABegJITzzxBB544AG0tLQgJSUlrGQABAIB8vPzYTKZgn7tUlNTwbIsDAaDU2DQbrejpqaG/r5UKoXZbHZqTEYMb0fpBNJ7paWlxafKBULvyD7DMMjMzERnZye0Wi0sFgt16h04cAByuZyOha2trdi9ezcyMjKQkZGBlJQUj1mW5LzIZBYbGwuz2Qyr1QqGYQY0S90fGIZBXFwc2traoFareTs/7Xb7gGejRhgY/HVUPPnkk/1xeB6pra2F2Wzu0xydVJuQ4O1ABj9HjBiBLVu2QKPR4MSJEyguLqbSiEKhEAkJCbDb7dDpdE7jntFoRHNzM5qbm5Gfn0+Dw6EKmjhW3IVzsPiCCy5Aa2srzj//fNTW1sJkMvG6x0899RQ++OADvPTSS7j77rtdbkPK4Umlkr8ZrxKJxMleDyUkCzglJQUCgQDnnXcempubsXz5crrNzp07sW/fvj7fffbZZ/Hwww/znufsdjuOHj2KYcOGhUy2cqARi8XIyclBZWUlTp06FZBDIBCCUZUdTnKzM2bMQElJCU6ePImmpian8ZovjvIZvlZZkaat4VDhHsEzvvhSQu0bIVUmU6ZMcUq47G+t+WHDhmHPnj1uM+qJDUHmLLFY7DIwQoImvoxrjs5Bf5g5cyaKiopw4sQJfPLJJ/jHP/7hcjutVguO4yCXy/tVAQNwdgaThIDevUNJ0Ky6uhrbtm3D4sWLPa5vlUolMjIy0NDQgGPHjmHKlCkunfsPPvgg9u3bh/vvvx+LFi3yeqz+Jp2QvpcA8MYbb3jctnfDeALpr6VUKiEQCKiKCtCTIDxo0CAcPXoUf/75J5qamlBaWopTp05h/vz5GD9+vM/+AIFAgOjoaCo1R/pbAT3P8DXXXOPxfXfs3eFtnSsQCJCdnY3KykpUV1fzkrp3RK/XU6nvpKQkp/GCJBf6EjQRCARuqyhcsXLlSqxcudLvOf+tt97Czp07cf311/dJovM3aKLVatHV1QWpVEoDlL0ZPHgw6uvrUVlZiUmTJjl9RmRSHcc9x2tIEord2aODBg3Cn3/+yauviaM0F9Cz1pDL5VixYoVLOV+RSEQTbsk76S1oAgxchbgvhNS6T0xMhEAg6ONgaG1tdXmhgR5HpavtySK6N66knM5UGIYJ+rmSDEq5XO725YqKisL111+P7u5uuogk0ly9DaQ5c+bQrANHSCZpMCWUgglpHiaXy5Gbm0v/TsoAfXHI63Q6NDU1wWg0Ii8v77RejCgUCsTFxVFHiasywYHGsfFrMBGJRDTS7zjZkmxok8kEm81GS2NJwzDH++1oCCUlJUGtVsNoNEKr1QZcap2Xl4dly5YB6DF8WltboVarwXEciouLnWQbqqurcfjwYVqJIhQKkZ6ejvT0dBQWFrospZbL5U5BE7FYjIKCAphMprB8h72hVCrR1tYGnU5HA5qeMJvNKC8v91tD02AwoKOjAwqFwq/AcWtrKziOQ1JS0ml5vc8UwslRwReShZSfn+90rGKxGEqlEiqVCnq9PmhBAEeJT77viVAoxPjx47F9+3bs2bMHw4YN6zO3sCzrcpyUSCQwmUxobGyE0WiESCQKSI7QE3q9HhzHQSgUhjSpgeM4aDQamEwmv+bYmTNnYubMmQD+cmgVFBR4HDu0Wi2++OIL2Gw2jBkzxu12EokEycnJaGlpQX19vddyfj6Q8w2Vk43IVsTExODFF1/E/v37ER0d7RRIevjhh6FSqSCTyeh/119/PZqbm3Hw4EFMmzaN12+VlJRg/fr12LNnD2655ZawSiwJJkOGDIHVau0XmRh36HQ6cBzHq1ePO0jVdH/3vHFFYmIihg8fjqNHj2LHjh24/PLLfd5HW1sbWltbfa4o4DgONTU1YFkWmZmZbrOSf/jhB3R2dmL69OkhreiL4Bp/fCmh9o1IJBIMHTo0KM2hA0Emk7mV5bTZbKipqYFer0d2drZH+Sd/Kk2Iz4RvM/feMAyD22+/HXfeeSfefPNN3H777S7nDrJuycjICGkSqs1mw7nnnovs7GzaxD0qKgpyuRwSiQQpKSku/URZWVkYOXIkjhw5gpycHF5jxPDhw52CJq44fPgwtm/fTte5nuA4DgaDAVar1cmu5bN2evnll/Hhhx/i448/9jshkKytR48eTR3pjn4JuVyOiRMnYuLEiWhtbcUvv/yCU6dOYevWrSgqKvJ7TlUoFEhJSXEauydNmtTHyd4boVCI5ORk3nNobm4uDZrwtYuAnvtCeqxGR0f3sW1J0ISo14RyrcvHLiOqISQJlWEY7Nq1C6tXr8a4ceOcgiaOSieO1zE2NhZFRUVOvsTemM1mqNVqREdHuw2aDBo0CNu3b6dSy444rvHIcffuC2M0Gt2u8YYNG4ZTp07xUsSIiopCWloaRCIRzGYzvv32WwDAa6+95nJ7x2AyeQ5LS0uhUqlcKsKQoIy3+eqhhx7CkSNHcO+992LevHlejzsUhDRoIhaLMXbsWGzevBkXXXQR/fvmzZvdNoiaPHkyvvvuO6e/bdq0CePGjTutG/4FG6vVCrvdHvAinjg7XBkTHR0d9GUWCoUBTdZVVVUwGAzgOG7AMtTcwXEcDZr0XkS1tbWhvb0d2dnZXh1MFosFLS0tdF+xsbG8JmC73Y66ujooFIo+GRzhwH/+8x+sWrUKc+bMwebNm3HVVVcN9CEB6HFKSySSfnEo93Y85ufnw263w2QywWAwQCgUIioqyuOxCIVCpKWlQSAQBD1jWSQS0d9WKpW0/JmQlZWF6dOno6GhAQ0NDTCZTKitrUVtbS327NmDJUuW9HGEyeVyqFQqGhQiQdvTNUhNMsxkMhmvuaSzsxN2u502rfMVnU6Hzs5OGI1GanzxxWw2o62tjfZRCETrN4J/hKOjgi+9DWpHkpOTfSo/94bNZkNLSwtMJhNkMhlSU1N5JQqYzWakpKRg4sSJ2Lt3L+rr63llsMlkMiQlJaG+vp5Wh2ZmZoZsHnDUiw7l3Hz06FF88803yMnJwfXXXx/Qvoi+u6vGlY589dVX0Gq1yM/Px/Tp0z1um5mZSWUfAw2aHDlyBLfccgvEYnHIZIlkMhl0Oh3Ky8tp/6H333/fae698MIL+3xvzZo1yMzM9LjgdcRut9NzKC4uDjv7LZgQp89AYLPZ8OCDD+KWW24BENj76GijhwPTp0/H0aNHUVpaiubmZp8DwGS8JRnpfK+LRqOh9qu7DHaO41BaWgqtVhuQfGAE//HHlxJqli1bhmXLllGnoSM2mw1qtRoGgwGZmZkDMiZaLBZUV1fTJC9v9oE/jeADrTQBepqdP/TQQzh+/Dh27NhBEx8IJBgAIOSSv/X19di8eTNEIhHeeecdAD3nyEfu6ocffkBjYyMmTJjA67cWLlyIgoICTJo0CdXV1bSHgyMkuM1nnGYYBlVVVTSgvmXLFkyZMgWjR4/2+t3bb7+dSqXxwWQyoaKiAsXFxQB67tHIkSNhs9lQVFSElpYWsCzrNhE5OTkZV155Jfbt24eoqKiAkhAkEolPzyyBYRifknNIYqVj7xe+v5OdnY2Wlhakpqa6TEIjVeZ8CXVPNXKOUqkUMpmMPn+9JepJsFQgEDjNn/fddx/uu+8+j79BfBCeAq7kvXNVDUKSuUmliclkAsdxYFkWcrkcWq0WJpPJra/p6aefxtNPP+3xGAmO61oi0SsUCt1K4jueW2pqKoYNG4aoqCi0tLS4/A7fSpNdu3bht99+8yifF2pCXkd+77334pprrsG4ceMwefJkvPPOO6itraUl8g8//DAaGhrw8ccfAwCWL1+O119/Hffeey9uvvlm7N69G6tWrcLq1atDfainDR0dHWhubkZsbKzPZXK9ycjIcCm3UF5ejs8//xxTpkzB3LlzAx6glEolDAYD2traaPliuEAa5jEM4zQ5k4gzkWPKzMx0OXkT2aXW1lbaYFKpVDpJWVmtVtogqTd6vR7d3d0wGAxuI84DiUKhwIQJE7Bv3z589dVXiIuLw8KFCwf0mEiGHMdxyM3NHZD+ESzL0uxUvoQqS4hk7QKuA6BpaWlU9oE8r/X19aioqIBKpXLpXCULcaPRGFDzt3DCnbO7NxzHQa1WA/D/nsXFxaGlpQVGo7GPxJs3SJWJXC4f0KzevzPh6KjgQ3d3N1pbW8EwDAYPHtznc3cN/PxFIBAgKysL5eXlMBgMqKqqQnR0NFJTU90GkIhDw2q10my3AwcO8LZnSEULy7KIi4sLafZzQkICpFJpyGWXyNjU1NTk96KQ4zj8/vvvUKlUYFnW5f13ZNWqVQCAG2+80evvFRQUwGaz8Q4meCIhIQEHDx6ExWKhGbbBhizAiJ2wbNkyXHrppV6/5y141JuSkhJ0dHRAJpPxdhhF8J2HH34YL7/8Mu2bGEgiQThVmgA9jtrhw4ejpKQEu3bt4vWcOkKkWWw2G29bg+M42rvRkwJAe3s7tFothELhGSt9fTrgzZcyULhbF7S0tNAkyVCvz7Zt24b169dj/PjxuOqqq2AymVBdXQ2LxQKhUIicnByvx/DII49gyZIlOOuss3j/LnEOBhI0iY2NxdVXX42VK1fizTff7BM0MZvNsNvtIVEa6Q1xFufk5PichJKZmelkv+n1enR2djr1PnHkzjvvREdHB5qamuj59cZdMqs7hEIhLBYLOjs70dbWhu3bt2PEiBFBXbsajUZER0fDarWira2N9isdM2YMxowZQ+cWiUTitQ1B7wSE8vJyVFZWYu7cuX4fs81mw6lTp5Cfnx9Um3X06NGYOnUq7zW0I0Kh0En5gvDKK6/g/vvvx9dff43Fixfz3l9jYyM0Gg1SUlK89rI1mUyYMmUKkpKSsG7dOq9zI8MwUCgU0Ol0qKmpQV5entugiStpLr7wCZrMnTvXqS+II6tXr4bNZqM+R47joFAowLIsJBIJDZoEG9KHJzk52e0YoVAoqP8CAP7880+3z7PNZqPXwNv41tDQAAAun6X+IuRBk8svvxwdHR146qmn0NTUhOHDh+PHH3+kUcumpianJkx5eXn48ccf8X//93944403kJ6ejldffRWXXHJJqA/1tEEmk4HjOHR1dSE1NTWggVEsFvdx1Le3t+Orr76iQYNgoFQq0dHRAZPJhPb2dr8G3lAhlUqRn58Po9Ho9GIzDIOcnBzU19dDo9Ggrq4OVqvV6XqZzWbU1NTQwUkmk/VpAm2xWFBVVQW5XO5S5qe/MlkDYdKkSVi7di1++uknHD58GCUlJUFtvO4rXV1dsFqtEAqFYZHZ7Q8kQysYBh2ZMHU6ndcsb4ZhkJiYiMTERIwePRoWi4VO4I5ydCKRCDExMZBIJDAYDFCpVIiOjj4tehQFCinPJZJr/iAUChEbG4vOzk6oVCreQRODwUAXC+4WHBH6h3B1VHgiOjoad955JxobG706CkhAL9B3WiqVorCwEK2trVCpVOju7kZ3dzfi4+ORnJzsZKOQ+dBsNkMkEiEhIQHz5s3DyJEjef8e0XPWaDTIyckJqTOPvMehJikpCUKhEGazGSqVyq8EiuPHj+OBBx7AggULkJWV5XFuPHnyJHbt2gWWZXHttdd63ffQoUNp091AycjIwEMPPYSnn34a//jHP2A0GoPe64QETfLy8lBYWIgVK1YEdf+Ac5XJ5MmTT1tbxFcMBgPUajXS09P75fdWrVqFF154AUBPYl2gv+urM64/mDFjBqKiovyq5mAYBlFRUdBoNNBqtbxsja6uLpqFn5iY6DYxhmS5Zmdnn7H9ek4HvPlSwgnH+bmrqyvkQZP9+/fjlVdewRVXXIGLLroINTU1tGF5bm4uL6fm2LFjMXbsWJ9+NxiVJkBPpYNQKMRtt93W5zNSZSKVSkO+FiBNoX3pF+EKkmhqs9mgUCjc2k9EHt5dYpgvlSZAz3NnsVgwZMgQ7Nq1C52dnTh48CDGjx/fZ1uLxYLa2lpUVFSgoqICRqMRV199tdeqDalUivT0dNTW1uLkyZN9lFP87c9gNpuxfv166HQ6VFdX45JLLvHLBiwvL0dRURESEhLQ1tbm8ZmxWq0wGAx0/vDEXXfdhbvuuov3cZBeK+78RGVlZbjnnnsAgJ4n32Qhs9kMm83Ga9u2tjYcPHgQQqGQ9ziUlZWFqqoqmEwmVFZW0mBg76AJ0OPz86dqn/hcSODDVQBi8uTJLgMmBMcKF5lMRt9bkvDJJ2jiqWc40PMud3V1QSKRQCaT0aCJJx9uTEyMk9/Ek4+LHKO3ZD6O42hfnP6yO13RL0Lpt99+Oy2TPHDgAGbMmEE/+/DDD7Ft2zan7WfOnImDBw/CZDKhqqoqrB0UAwF5SR1lpYKFwWDA6tWrYTKZkJ2djYULFwZlomYYhr5k7e3tfmuAhgqpVOpyAcWyLLKysujA39TURDNogL8GPoFAgIyMDAwaNKjPwGwwGGA2m9HZ2YnGxsY+zagcgybhzL///W8UFhaiqakJ//znPwf0WDo6OgD0TMinY78HtVqNsrIyWhIeKESTesiQIT4HYRylqrZv345Vq1ZR4yA7OxspKSnQ6/XQaDTUyD2dITJ67pp5A38ZHXFxcQE9X2TcIEE+PggEAsTExCA2NnZAKqgi/MXll1+OFStW4KmnnsLo0aOxY8eOsHVUOBIfH4/hw4d73MZoNKKiogKNjY0+NWF0/D6RkAP+6pNUUFBAF8EqlYqO1UDPIq26upoGTPLy8pCWloZx48b5nK1FFtLetINPF1iWpbI8ZHHgK8XFxVSa0du49cEHHwAAzj33XJ8zt1xJsvjKk08+iYcffhhAj5zBv//974D36chXX30FjUYDiUSCzz77zCdJzJdeegkXX3yx1/vwd6wyqampwQsvvIC1a9f2SzP1X3/9la4BH3/8cVx++eXYsGEDLr74Yprp6SvhJs8F9ARNFyxY4HdlKXm++dhojlUm8fHxKC8vx4kTJ1y+18SRykeiJ0Jo8eRLCTfIerqzszPk4wSRoayurqbOeplMhkGDBoW0Dxlx8tntdprx7Q8jR47E66+/jmHDhvX5rL+kuYC/Kk0CtadYlqVrH0f7zxGbzUblVd05S32tCHTcD6kY3blzZx9/07Fjx/D888/j008/xe7du9Ha2gqNRoOff/6Z17NaWFgIoKdPQ319Pfbu3Qu9Xg+gZzzNycnxORFJLBZj4cKFkMlkaGpqwsqVK3Ho0CGf352jR48C6Gki7s13p9VqUVNTQ/v5BAubzYampiY0Nja6nI84jqNz+oIFCzB27FhUVFRQWWFvkPvJ590m50YqgvggFAqRl5cHqVQKm82GKVOmYOjQoX2CJjExMRg8eHAf+3nMmDEYMWKEy14kBEfJwGD7Q6VSKSQSicfrY7VaMXr0aMTExLh9R4GeAFVDQwMdG4jfxJ8ekna7vc/zTJrVe0s46ujooPbeGR80iRBcGIahE5JKpfLLIOE4DrW1tVCpVHSyt9lsWLt2LVQqFWJjY7FkyZKgZhZFR0fTKplgD9L+wufaMQyDtLQ0qv9ImrKRz7KysjBkyBAolUqXg3JMTAyNVKvVaqfAid1up0ZRuAdNZDIZPvroIzz99NN47LHHBuw49Ho9zY44XaseBAIBbDZb0AOIgQQ4jUYjDhw4gNbWVrz33ntODqPTJbDHB9IvRKVSudVjJlJngWai+hPgFovFyM7ODlh6MUJwOJ0cFb0bAXpCIpEgOjoaHMehvr7ep0U/yfpxFXyUSCTIyclBbm4uoqKiaCYeCZiYTCYIhUKXGaAcx/E+jujoaAgEgqD1ZnFFZ2cnWltbQ1Lm7gqyEGlqavLr+wzDQCgU4vDhw3Tx7AqO47BmzRoAPdJcvlBZWYk33njDqULc32P9z3/+Q3WVH330UTzyyCNBc7Cdf/75NNvRVyfQxx9/jG+++QZ79uxxu83ftcokLS0NLMuis7PT42I7GJSVleGSSy6B1WrFFVdcgf/7v/+DWq3Gww8/jG+++cYv2Wa73Y78/HxkZmaGVaVJb3x9D0iwhTRD9kRnZyfMZjMEAoFTZnXv+cNut1NnSaDZ5xH+XpAej1arNWiKFe4gQZOGhgbExMRAJpMhNzeXt//CZrPhnXfewTfffOPTekwgEKCoqMjnngy+0J9Bk2BVmgB/JYyR9XpvSMCkqqoK+/fv7/O5yWSi4xHf4LZj5c9ZZ52FmJgYdHd345NPPsGJEyfodomJibBarYiJicHo0aOxaNEiCAQCVFZW4tSpU15/h1Tcnjx5Env37sXPP/9Mk79FIhGio6P9aihfVFSE5cuXIzc3FxaLBd9++y3WrFlD7Rg+lJSUAIDXpCngr6CDL/at1Wr1Ojd1dXWB4zhIJBKXySqffPIJfv31V8hkMrz11lsQCoUwGAwwmUxeE3KIGgYAXr1Jia/R174vZI1CeqC+//77vMYTjuNQUlKCkpISj2sThmF4SXRVVVVh8+bNTs/AunXrMG7cOGo7cxzndN1kMhkKCgo8JkMJhUK0tbVBq9XS994VJFBB5Ob4VJpwHAer1Qqj0Uj/f2FhIWQyWZ9E4ejoaBQWFnpNRCTSXElJSSENhHsjEjQ5TYmNjQXLsjCbzXTy8QWSOd7S0gKGYcBxHH766SdUVVVBLBbjyiuvDLqDlGEY6hRQqVT95ojwRH19PWpra706m0jTLBLhdDQCpFKp1+z+uLg4l4ETg8EAjuMgFAoHdCDgA8dxiI2NxYUXXjigjanJQj02NpbXpBmOBDOAaLPZoNfrA3Y2SaVS3HTTTUhOToZWq8WHH36IkydPwmw200VPsBvYDwRyuRxisRh2u50GRxwhmXGkHDUQAglwR2S5IviCzWbD22+/jc8//5xXtjHDMEhPT4dQKITJZPJYedWbzs5O6PV6MAzjVkIgKioKubm5dG4kPb1IFldvJ/Px48fx1ltv4eDBg7yOwWazYejQocjJyQlZvyWVSoXW1taQO30IxL7wN2gC9Mj8rF+/Hj///LPbbRiGwYEDB/DWW29h0aJFvPfNcRy2b98OtVqNDz/8EFu2bAm46uT//b//hxdffBHAX9UhwSA2NhZjx44Fy7I+ZwFPmjQJALB371632xBZu79TlQnQ42ghC1w+DiZ/UalUWLRoEdRqNSZNmoT3338f7e3taGpqwkMPPQQAePHFF322e1iWxSWXXIJly5aFZaCroaEBn332GTZu3OjT90QiET0fT2tCR5szMTHRKfDc27nZ2NgIk8kEmUzmV2ZphL8vLMtSZ3ewFTF6M3jwYLAsi7q6OtrLzReboKOjA7feeisuvvhin+xuhmHc9ir1h7Vr1+LOO++kDn6O46hv4nQLmohEInr/XQXXyTy/bds26uh3RKvVUgcp3+o7cs+JdDfpD1NXV+cUNElOTsbtt9+Oe+65BxdccAHGjh2LiRMnIikpidecQCpNTp06Rfc7evTooCR8xMTE4JprrsGcOXPAMAxKS0vx5ptv8raL/AmaWK1Wr3ac3W5HQUEBpFKpV/vUUf6y97vR3t5OpVgff/xxnDp1Cq+99hq9d96q3h2DNqEMmgB/BU5MJhN+/fXXPsEFV/fbUVXCm7wan55IF110EebPn++UwFNSUoIDBw7QhAaLxYITJ06grKzMp2eQvOeuGs0TiJ+WPCtardZJOcgVHMehtLQU5eXlsNvtEAqF6O7uhtlsdhug8RZ0DgdpLiASNDltEQgENMvelyg0gQzApKFqQ0MDDhw4AAC4+OKLQ9ZzRKFQICoqiv7uQGK1WtHV1eXTIj0+Ph6DBg3yK7u1d+CkqamJOmPkcvmAXw9vMAzTpyHW3r17gyLVwReLxULvlz96n+FCMAOI3d3dqKyspBNoIMTGxuLGG2/E4MGDYbFY8OWXX6KsrIx+Hu6BPT4wDEMzTIkMlyMxMTFISUlBUlJSUN7J2NhYSCQSxMXFeTRoOjo6UF9f77fkSIS/N0eOHEFXVxeampp4L7AdGzSSXiTesFqtNMBCmrjzwWw2uw2YAD3jWFtbG/bs2cPL8H///ffx+uuv0wykYDMQVaBpaWkA/moG7w/z5s0DwzAoKSnxeG2USiWWL1/u05jOMAyWLl2KUaNGgeM47Nq1C6tWrQo48H/ffffRIEygkkm7d++m1y45ORlFRUV9dMe9QRq0eqo0USgUuOqqq/CPf/wjLJ3voSQ/Px8AeMtp+IPZbEZcXByys7Oxfv16SCQS6kA877zzEBUVhZKSEp+DC+GOwWBAeXk5Dh065LNdmJKSgpycHK9JTWlpaYiKiqIJHWQ946rSJC8vDwUFBaelDG6EgcVRoiuUSZJisZg6AB3XK3wh81d8fLzf6hrBUAx455138Prrr2Pnzp30b4MGDUJGRka/zDEk2BosuVMy73Z1dTldH47j6G9t27bNZVVsQkICWltb+/Sa9QS5d8QnMXr0aEyfPh1TpkzBuHHj6HYMw/RZ382aNQvLly/nJb1LKk0sFgtsNhtSUlKQlpaGmpoaNDU1BdzjhmVZTJ8+Hbfeeivy8/NRVFTkNKZ7SgLxJWgiFArptfW27iRVYzabzaOvwWQyUakyV5WcDzzwADo6OjBixAjce++9WL58Oe699176HW9BE8cqE749TQD/gibAX9Vkt956K37//Xf6d47jaKDC8X6TSoqoqCivfsLMzEwUFRV5rHgdPHgwAOfABklWIXYYmbdZlnW6Jt4q94nkpqdKEzJuk/HnmWeegcViweOPP+72OyzL0ueK3C8yPvvrp9LpdIiNjR3QJvBAJGhyWkMMXq1W69MgzXFcnwZcmZmZuPjiizF//vygNft0R3Z2NnJycgbcAUsc/742cpLL5X7rDsfFxdGXXqvVwmw2g2GY00b2iDg0uru7cc8992DSpEm4+OKL6YQXanQ6HTiOg1wuP+37PSgUCvockZJHfyDvcrCuh0QiwZVXXomzzjrLyXEnFovDPrDHFxJw1uv1fRZzIpEISUlJQZPuEAgEyM/PR3JyslvHg81mQ2trKzo7O8+IvjER+he73Y5du3YB6JEK8mXhHx0dTQPQDQ0NXm2JlpYW2Gw2SCQSn5zRRLbL3eJ/9OjRkEgk6Ojo8OqMNZlMaGlpgVqtRkxMDMxmc9CDjaR6rz+rQJOSkjB58mQsXLjQ5+oIu92OnTt3wmw2UwfBpk2bXG4XCBKJBBdeeCEuu+wyqr/9zjvvYN++fQFlWl533XXIysqi/965c6fPzodffvkFU6ZMwUUXXQSLxeJ3FjAJmvzxxx9ej+F0sd2CSUFBAYCe/iahCvKnpqZi27Zt2Lp1K1JSUmAymcBxHAQCARISEnDzzTcDAG0QzxeLxRLwOxBKBg8ejISEBJjNZvz5558+fTcmJgbR0dEeAxwMwyA6OtqpCpDYjr2DJtnZ2bj22mtx4YUX+nYSESLgrzVOTExMyNcOY8aMwdixY/2qfgvEsWq321FbW4uysrKAx0Iyb5MEVoZhIJVK3Up/B5uDBw9Cp9Nh7NixQdmfTCaDXC4Hx3FOyb0cxyE5ORnd3d34888/XVaaEHw576ioKKSmptK1G8uymDNnDs4++2xkZ2d7/K5IJOIdGCaVJsSXM3r0aOh0Omi1WifJ+0BJSUnBVVddhQsuuID+Ta1W49VXX8X+/fv7JKwajUb6/PMJmgB/JULyeXZJMM2T45v41RQKRZ9KkMbGRqxZswYMw2DlypUQiUT0WpLqFW9BE3KcfFVGAg2aAD0+v8TERIhEInAch4aGBnR2dsJut1M7k0CCJnzWRo5BK3eQwIZjfxSyPiJ2GLlmjn7M9vZ2nDhxgvYucwWfShNHeS6CQCDw6m9ylMpz/C3HAI3VakVpaSmqq6u9rh0uvfRSdHZ2Yv369R63CzWRoMlpjEQiQVZWFoYOHeqTk4Q4GBiGcZLbGTFiBCZPnhyKQ3UiXDKWHJs99ydKpRJZWVnIy8ujkebTpTcHaTDFcRwWLVoEiUSCb7/9FnPmzOmXPjVxcXEoKCigGbmnO6SiS6PR+BV4cgyABlMyTSAQYNGiRZg7dy527twJjuOo0dnR0YHa2tp+rTAKNiKRiI59oZYOALwb/m1tbdQRTYLhESLw5fjx41CpVJDJZE4ZdXxJSUmBRCKB1Wr12KdAp9PReTMjIyOoC3mJRIIxY8YAAL788kt88MEH2LJlC+rr6/tsW19fD47jEBcXB71ej7Kysj5auYHi2Mepv4LFAoEA8+fPx4gRI3yWHKurq8PWrVvxySefYMGCBQCALVu29Nnu5ZdfxqRJk/Ddd98FdKzFxcW47bbbMHjwYFitVirvGgzWrFmDWbNmYenSpbwzeNvb23HttdcC6MmkD0S6k2R26vV6HDt2rM/nFRUVaG9v75dG6OFIQkIC4uLiYLPZgnbPCSdPnqT/Xy6X00xLYh/JZDIwDIN77rkHAoEAW7du5S3pB/RkNj/zzDNUgz7cYBiGyr3t378/qM+Yu30RZ4vJZHLp8DtTkmUi9D9ZWVnIzs4OeeLB3Llz8eGHH/pVJUFsB38cqyzLwmazgeO4gJLfANBgxR9//BHQfgJBLpcHVfY6ISEBIpHIaZ8syyIhIQEJCQmw2Ww4duxYUNaTMpkMiYmJAclIW61W7Nq1C1u3bnW7TXp6Om655Rakp6eDZVmMGDGCOqeVSmXQn3VH/97evXvR1dWFH3/8EW+++SaOHz9Ox/XS0lLY7XbEx8fzllMkznA+lWCkCsdd0ITjOLo+cOXTSk9Px7Fjx/DWW29RX2NRUREAUDvLW9BEIBBAoVDw7hlDlCVIT+JA6ejogFqtplXcvStefAma8IEETfhUmjgGMhiGgd1u93hffak08fWZ7t2vxVXQxGg0wmq1wmQy8bYxBlqSPzy81xH8JjY21udyUiJvJBKJ8Nlnnw1YZrPZbA5KKaM/GI1GGI1GJ8mp/sSxHwfLsmETSPKG4/XKz8/Hli1bEB8fj71792LKlClBl2sgDa7I/QIQlF4T4YJUKqVBO3+CJnq9Hna7nVfk31cYhsG0adNwySWXYMSIEXRhfeDAAXzwwQd4/vnn8cUXX2Dv3r0eHUikcZter0dnZyfa29vR2traZ4HR1NSE8vJylJWVobS0FLW1tejs7AxZcIYYdaSHCckYI/8ONna7HV1dXX2CNGazmTqqU1JSIg6KCD7BcRyVc5g4caJfCzaWZZGZmYnk5GS3iwuO42g2mFKp9KvRpTemTJmCpKQk2Gw21NbWYteuXU6Zo0ajEUePHqWO1ezsbHocGo0mqO+tY9DkdIDIkuTn5+P666/H5s2b8d577zltw3EcVq1ahb179wbs4AF6qpSuuuoqnHvuuRg9ejRdhAWKSCSCQCDA2rVrcckll3jtO8dxHJYtW4ampiYUFRXhpZdeop+1tbXh1KlTLqUY3cGyLMaPHw+gb18TjuOwZs0avPHGGx6z+M5kGIYJiUTXhg0bUFxcjMcee6zPu9y7IXJ2djauuOIKAKA9cfjQ1dUFu93ul8RufzFq1CiIxWK0t7d7zAJ1hcFgQHNzc5/n3W63o6KiAq2trX0CIyTLmuM46iTp7u7ut15OEc5c+mttO2fOHADAyJEjff6uY48ffyAO6q6uLq/9UT1BgiZHjx6FyWRCa2srOjo6BsRHEixiYmIwZMgQl8lggwcPhkwmg8Fg6DPO/fLLL5g9ezYeeeSR/jpUAD3JJ1u2bMFvv/3mNhGHYRhcdNFFAHqkujiOoz3+Aqlo4MPZZ5+Nc889F3K5HCqVCmvXrsWqVaug0WgQHx+PJ598EnfccQfvdWQwK01sNhudS9wlcebm5uLWW2+l/yZBk927dwPocbJ7et6jo6ORl5fHOyj073//G2q1Gv/v//0/Xtu7wmw247bbbsPSpUudFEKAvsEEX4ImZrMZDQ0NHmV0ewdN1Go19RcQG8xVpYk7yU1HvFWaOPa6IcG1xYsX44orrvC6fiB+aRI0Ic+OY9CE2BrhbIv1xj/xxghhic1m45WdSIIkf/75J6qqqrBx40ZceumloT68PtTX10Ov14Nl2ZD1UHEHWVBER0f7rWH6dyU2Nhatra3QarWYOHEifvvtN5x77rkoLy/H5MmT8f3331N5C1/gOA6tra2wWCz0P6vVShd4CoUiKA3qwo2UlBQkJib6NXE4yuyFytne24nKsiw1dE+ePEkdmDExMUhNTcWVV15Jt/3444/dZjGIxWI8/PDD9N9btmxxKkF1RKFQ4O6776aBxlOnTsFgMCA5OdnvBqXR0dEQiUSIjo6G3W6HVqulFT+hCKRqNBrU19fTBonkfrW0tIDjuD7GWIQIfCgrK0NrayvEYnFADallMpnHwCvDMMjKykJLS0vI5uvo6GjcdtttUKlUqK2tRW1tLV0YAD2LtXXr1tF/Z2dnQ6FQQCAQwGq1QqfTBZRlSBiIfiYEi8VCbaNhw4bx/h4JmgwZMgSDBw+mGfqO7NmzB6WlpZDL5ViyZElQjtcxM56g0+nwww8/YNCgQRg6dKjP49pFF12EDRs24OKLL8Z3331Hq2Kio6OxfPlyPP/88wB6FoRPPPEE1Go1vv32W4jFYnz++edOAT2bzUZ1tn2p6J04cSJ27tzZZ3HY0dEBs9lMZRz/rowZMwZpaWlO76cvEAe9VquFTqdDWVkZli5dCrvd7tJZ1TtoAgD3338/SktLqQOLDyRpYSCSpfgikUgwevRo7Nu3D/v27XP5LrvDYDCgvb0dcrnc6XlXq9U0s7O3Q8exzxtxcu/evRu7d+/G9OnTqUM6QgR/MZvNaGlpQVRUVNCVFTiOo45Wf2zoQCV8ZDIZYmNj0dXVhebmZr97guTm5iI+Ph4qlQpHjx6FXC6H3W6HQqEIuZ/iq6++wsqVK3H++efjrrvuCtp+e69LzWYztFotXX8VFxfjwIEDKCkpoXJDQI+tt23bNp/sL47jYDAYYLVa/VZeyMvLw5AhQ1BWVobNmzc7rWd7nwfLshg1ahS1EeLj40OeCS8QCDBhwgSMGjUKu3fvxu+//46GhgZ8//33uPLKK/HYY4/5tL+YmBiIRCJeSZfkua6pqXH5uVAoxKBBg2Cz2ZyCpWVlZWhqasLMmTP7fIcETQ4dOkRt+VDIZwbiHxEKhVi5ciU4jsPLL7+M7Oxs1NXVQaPR9LluEokExcXFvOZsu90OtVoNlmXd9upw7GnCcRxNUiF9yaxWKx37HH1IJMhB5EhdBa8HDx6MYcOG0cBf72vEsixycnJgsVjAsizMZjO1xd944w2P59a7yb27SpPex+2Oyy+/HBqNBs8995xfgfFgEfEWnwGYTCY0NDTAZrMhPz/f4+BAMqo5jkNVVRUSEhJw3nnn9ePR/kVCQgL0ej1UKhWSkpL6LSOF4ziqu9jf0lxnAqTSw2g0Qq/Xo7CwELt378bChQtx8OBBzJs3D1VVVT5n7TAMA7Va7TLLQCAQnDbVOL7Su3TZF0jVWH862+fNm4c5c+agubkZlZWVqKysRG1tLTQajddsFYFAQLOIe59zfHw8dDodbWam1+uh0Whgs9lgtVqdtt+3bx81HvLy8jB9+nTk5ub6ZBixLIshQ4bQ7ziWFYciABUTEwOBQACLxYLu7m4q/0LGotTU1EiVSQSfIdI048ePD1q1md1uh0qlQkJCgtMzKZFIvGpDBwrDMFS6gch1OX6Wnp6OpqYmCIVC5Ofn06w2tVqNrq6uoARNSAZUf/YzIbS3t+Pjjz+GVCpFcXExrzFBpVKhvb0dLMt6dGKvWrUKALBkyZKgyjn25ocffsCJEydw4sQJ/PDDD8jMzMTQoUNRWFjI2y4499xz8eOPP+K2225DRUUFrFYruru7na5HS0sLnnvuOfrv5557DqNHj3baj7t+Dd548MEH8dhjj/XpwdPY2AigZ7w+U20SPqSnpyM9Pd3rdvX19Vi+fDkaGxvx6KOP0gDHTz/9hIULF/bZ/uyzz8Yrr7zidJ9J4AtwDpqMHj0a+/fv92neJEGTcLf9J0yYgH379qGsrAxqtZq3o5mMf3q9nibS2e126hh211ut970kzo2/c2AwQvDo6upCV1cXbegbzLHTYDAEVHEfjL4HycnJ6OrqokFgf5ItGIbB2LFjsXnzZhw/fhxnnXUWGIbplybwhw8fxi+//OIUuAgmHMdBo9Ggq6sLGo0GUVFRyM3NxbJly3DhhRdS5znBHx+N3W6nWfPFxcV+P2Nnn302VT2oqKhw6QA/77zzkJubC71eTyWagiXJxAeJRIJZs2Zh2LBhWLlyJU6dOoWTJ0/SHiF8kUqlvBM2+fQ0AeCUvM1xHG655RZs374dr776Ku68806nbcnx1tbWIikpyav97i4AEErIGoOMYampqcjKyoLRaOzzbl555ZVuA229IT4Nu93uNuk9OzsbLMtCr9ejpaUFOp0OBQUFtP8fsWvFYrHT9wUCAQQCAbWdXI2LGRkZHvsJsSzr5FsildVCodCrPdJbnis/Px/jxo1zej57N5n3xK+//oq2tjY8++yzXrcNJZGgyRmAUCiEwWCgJYKeJmur1YqdO3eisbERMpkMV199dUhkNvgQExMDsVgMs9kMtVpNm9GGGo7jkJiYiO7u7qA4WP6OZGRkUOc30ONA2L59O5YsWYLFixfzMh5I+XFGRgadBMkzIBQKaTDBlwZtpzskE5DPc2kymWiQor+fY5ZlqdNk2rRpNDu6t/78xRdfDAC87qOr4C3JHOotE5GWlgar1Yra2lpUVVWhqqoKmZmZmD59OgoKCng7Uch2JPsJCJ0zhWVZxMXFoaOjAyqVCjExMXSxFhcXd8ZIzkXoXy677DIcOnQIxcXFQdkfx3Gorq6m0n9JSUkwm839snD3xtChQzF06FA67pGARmxsLNRqNTQaDdLT0wMOPspkMhQXF9Peb/1JcnIyBAIBjEYjOjs7eTlLSZVJdnY2XQDX1tbif//7H9RqNT788ENotVp8+eWXAIAbb7wxdCeAHn359PR0lJaWoqGhAfX19aivr8eWLVuQmJiIq666itc4O3v2bJSWltJEl7a2Nif7ViKR4O6770ZbWxvy8/NdZsg6Bk18WXC7q0QgQZMzpa9aKOE4DjfddBM2btwI4K9rBzhXcEmlUigUCkyaNAmffvppn4QKkuBgNBr7fObL+2mxWKgtEe5Bk4SEBEyYMAHJyck+2XdisRgSiYRW8cTGxkKlUtHEEz7nrdfr0dzcDABnZHV3hP4nISEBKpUKFosF7e3tQesxAPxVcV9VVYV//vOfeOWVV3x6bm+99VZMnz4dQ4cO9fsYSD9ClUqF5uZmDBo0yC/bYdy4cdi8eTM9J9LDKdSQIGmo3veWlhanCkKStHHbbbe53J4ETXypCCQJd6TyyN+El8TERIwfPx579+7Fpk2bcOutt/axG9atW4fLL78c69atQ0FBQb9UmbgiKSkJs2bNgs1mQ3V1NaRSKXJyckLyzAwePBhTpkxx+Z6YTCYIBII+FVEfffQRtm/fDplMhvPPP7/P9xISEpCUlIS2tjaUlZXhrLPOcvq8q6uLPgMcx9H+Ny0tLZBKpYiKioJCoYBCoYBSqewzV86cORNSqRQffPABryQPd5BKMvJcMgwT8JqdJAO7aihPEIvF+O9//4ukpCTI5XLMmjULZWVlVL5UIBBAqVT2ue4k2KrX690GTXyFVFS5S7xwRCqVIj4+nv5uVlYW9u/fTz/nOI53pYnZbKa+EncVOf1FJGhyBiAQCBAXF0e17twFTex2O9atW4fa2lpIJBLeC9dQQTJKm5qa0N7ejvj4+H4xDliWRWJiYr9mBZxpOA5yRNooOjoa33//vdNg2tHR4fK+dnV1oaGhAXa7HUKhkDog/s5Zbd3d3aipqaEyON4ygcViMfLy8qixMpCIRCKXxnagwRyGYSCXy/sEdolcRGdnJ37//XccPHgQ9fX1WL16NUaPHo0LLriA929wHEedOXK5PKTO4fj4eHR0dECr1cJsNiMzM5OOfREi+INQKKT9F4IBwzCIj4+HXq+n+vft7e1ISEgIG0dx78UwKeu32Wx0LgqU/srw7I1AIEBycjKamprQ1NTEK2hC+r4MGTKE/s1ms2HFihUQCAR49dVX8fXXX0Or1aKgoADTpk0L2fEDPQvhadOmYdq0aeju7sbJkydRWlqKqqoq6HQ6n6tciHxQb3s1NTUVK1as8PhdktzhKePOF0hfn0AW4GcKarUapaWlEIvFVI/fkc8++wwbN26ERCLBJ598gkmTJtHPpkyZgs7OTl7SMwzDQCwWu3WCdXV14d1330VMTAxuueUWt/shDg+xWHxa6Gife+65fn0vKioKJpOJJoZ5qzIh2O12GI1Gmq3ta8AmQgR3sCyL1NRU1NXVoa2tDUqlMmhOZpLw9PPPP+O7777DLbfc4pPzf/jw4Rg+fHjAx5GUlAS1Wk3lpf1x2t9111246667wHEcOjo6+i2ZilQP+Cst5g2lUukUNPFmo/lTEcgwDJVqDSRoAvQ42//880+0trbi4MGDGDduHICegLLRaKQZ8w8++CC2b98+oL6LadOmQaPR0OCCSqXySQJPp9PBaDQiOjra4zXLysrCb7/95vKzpqYmaLVaZGRk0N9ua2vDfffdBwB48skn3T5bH3/8MRISElBcXEx7oIpEIuzatQvbtm3D0qVLMXjwYNhsNjAMA6FQiH379vWR8WIYBjfeeCMyMzMB9CRJ7NixA4Dvjcx7Q64tsSGChUgkgslkgsVicWuTPPDAA33+RnxqMpnMbSDBMWjiCRJk7D0ed3V1UelwkUhEEyn4SKK78ts4QmTDiG3nCWJzi8XiAffb/j3St/8GkAx9jUbTJ9ubsHXrVlRWVkIgEODKK6/s9z4irlAqlVSyhkgNRTi9aG9vR21tLaqrq50GZ5VKhalTp+Laa6+lf7fb7WhsbERdXR3sdjvkcvmAD4LhAsmW4DgOtbW1tNmXOxiGgUKh+Fs73OPi4nDeeefhnnvuwZQpUyASiZzKP8nE7Am1Wk0XXZ4MzT179uDll1/GihUrUFtbS/9eXV2N77//Hr/88gt27tyJ/fv30/31RiKR0KC2SqWCQCBASkrKgGQoRTi9IZUgoSAuLo4uEshCN5yr/RiGoccbqB0RzGby/kKCU46Z+e6w2Wx0MeMYNMnLy0NBQQFsNhu2bt1KpbluvPHGfq2eiY6Oxrhx43D11VfjgQcewNKlS+mzZLPZaEZtqGAYhi5GSV8MvqxatQqjR4+mEmB2uz0SNHGgpaUFmzZtwr59+/p81tbWhnvuuQcA8Nhjj+Gyyy6jkhIAaG+vYGj1b9iwAQ888ACeeOIJjw4CR8mXM1kKkzgktVotVCoVbDYbxGKxRwckx3E4ceIEKisrUVdXB+CvJrQRIgSDmJgYyOVycBzntZEwX6xWKx3XSRUZqbzsb0QiEXJzczFkyBC/nbSpqalITU112dw5lIS60kQikdBxSSqV0jUPx3GoqKjAhg0bnMZufypNgL8aUJMG1v4ik8kwa9YsAMCOHTvo/g4ePIjXXnsNtbW1YBgG5eXlEIlEQe85U1lZiZ07d/Le/tixYwCAzMxMn2311tZWNDU19VF04IvFYqFrXkdH+f333w+VSoVRo0ZRW8AV55xzDsaPHw+xWIzS0lKUlZXhiy++wNatW2G32+n7TCrM7XY7pk6dijFjxmDo0KE0SEL6qRAc1y6B+kn4Bk0uuOACjBgxggZrvNFbxiqYyOVyREdHe0z+euaZZxAbG4snnniiz2etra2or6+nFSFkzA7Ed2y322Eymaj/TyaTeX1eyTooGCoCgRKpNOlnTCYTNBoNEhISguqEkEqlkMvltEeIq4d6+PDhSElJoc19wgEymLW1taG9vR0xMTEhfSm6u7tpk7CBzs4/k2AYBjqdDhUVFVAqlUhOTsbvv/+O8vJynDx5EocOHcJHH32EuLg4agwmJiYiJSVlwAfBcIFlWeTm5qKxsRFqtRpNTU2wWCyRa8SDqKgonH322Zg2bZrTImP37t04dOgQFi9e7HYxEBMTg+bmZifHa2/27NlDJUYAZ0mQpqYmHDhwwGn7HTt24NZbb3WZpUl6t6jVal5lrhEiuOKbb76BWq3G4sWLQ9JnJD09HXq9nmZMhnsVYHx8PBQKRcBVJjqdDo2NjYiNjR2wxJL09HQcPHgQe/fuhVAoxJQpU9w6YQQCAe699140NDT0kThdsGABTp06hY0bN+Lee+9FbGwsrr322v44BZdIpVK6wD1x4gTWr1+PnJwcLF26NKS/K5PJoNPpfA6adHd3488//6TvV3t7O82C7C852XCGZDi2tbXBbDY7PaP33HMPOjo6MHLkSJeZkr7Q0NAAsViM+Ph4l3b7FVdcgUceeQQNDQ34/PPPccMNN7jcj1QqxfDhw/u1B1ygWCwWHD58GJWVlViyZAkvW1Aul4NlWVitVuroSEpK8vhdUllHZAGBiDRXhODCMAxSU1NRWVmJzs5OJCQkBEXiZtCgQTAYDDSQ7WvQ5OOPP0ZUVBTmz58fcGWVP71MeuMoXdMflSYGg4EmA4Sq0gTocbZaLJY+0mzjx4+HWq3GwYMHaR87f/vOkuCFq96ovjJu3Di0t7dj4sSJEAgE4DgOhw8fBtBjo+Xk5KC6uhqlpaVBtY8rKysxa9YsdHR0YNOmTZg6darX75SUlCAhIQFXXnklPvvsM9x66628fVxisRg6nc5rT1KC1WpFVVUVFAoFnTOAnmeVOOg3b96Mjz/+GAzDYOXKlbwSA4lUFdBz/4VCIc477zzap44EFhQKBa9m4KTCMhj+Vr5BExL04QufoIlKpcKhQ4cgEAiwfPlyxMbGYu3atcjMzITJZIJEInF5fkql0mvFkUQiQXd3t1ODdqAnuNFbBtnXoInVaoXFYqHH969//QsvvfQSHnnkETz22GO8kzIaGhoAhEeiUsRb08/U19fj7bffxn//+198+OGH2LRpE44dO4bOzs6AMxzJIk6lUrnMQCWlUL6U7fUHCQkJEAqFNMs+lLS2tqKhoYE2fY4QOMnJySgoKKCTilqtxqlTpzBx4kT8+OOPSE5Ohlwuh9lshsFgoEG7SOPrvpBGx8SobG9vp1U5jnR3d6OxsdHvzJAzFUf9X47jUFJSgs7OTnz22WcoLS11+R3SUJo0le7N4cOHacBk+vTpWLZsmZPRkJmZiZkzZ2LixIkYPXo04uLioNVq8fXXX7sch2NiYiAUCiEUCgPOhorw96SxsRHl5eVQqVQhk08RCATIyspCVFSUX9lr/Y1UKg1Kg1myeAxF5hdfRowYgZycHFitVmzfvh319fUetxcIBC4DZwsWLAAAbNy4ERdddBF++OGHsFh4AD1BLrPZjKqqqqA4ODxBZBd9reibOHEiAGDv3r3gOA6xsbG4/PLLsWDBgrB/H/qD6OhoxMTEgOM46nQDgH379uHzzz8Hy7J47733AqqktFqtUKvVHjPTxWIx7r77bgDAiy++6HYdkZGRgUsuuQTz58/3+3j6G5vNhs2bN1N5Oz6wLEtlz1JTU5GQkMDL+UgctEKhMKyS6yKcOcjlcrpWJE7NQCASvgkJCbTS8uTJk7y/T/ouXXLJJUH1C5A+XP5UA69ZswZWqxU2m61fJEJJ5XxUVFRIkwGkUiny8/Od5DkZhsGIESMAAEePHqV/5zgOQqHQ50oTEigIxtpKIBBg4cKFVA2jvr4eHR0dEIlEiIqKwvPPP4+0tDSfnjdvVFRUYNasWairq0NWVhZvx3JJSQn0ej1kMhna2trcymi5gjxjfIIm9957L6RSKT7//HO8++67eP311+m8tHv3brzwwgv46quvqGzq7bffToMe7ujo6MBrr72GJ598EjU1NQB61tW33HILxowZQ9f0xCbnW8VFxpdgBLTIM+staEKqW/gqqBDbyNPzunnzZsybNw933nknTp48iX379kGpVMJoNKKiooLK8/oDSYwgkpwE0idbIBDQ663VasGyLO+gSUVFBSoqKmhQTS6Xw2Qy8bZjCCRoMtD9TIBI0KTfycvLw4gRI2CxWFBTU4Pdu3fjq6++wiuvvIIXX3wRW7du9XvfxBlns9mg0WjQ1NSEX375BcePHwfHcVS2ItyyrIRCIYYOHYrU1NSQLkRNJhPNNPR1Io7gGbFYTCd4mUwGu92OlpYWDB8+HMeOHcPo0aNhtVpx+PBh3HbbbUE1Ms40GIZBcnIyMjMzwTAMNBoNVCqV0zZdXV1QqVQhlzY5nWEYBjfddBOKiopgs9mwZs0a/Pnnny63FYvFLh07x48fx7fffgsAmDRpEmbPno3MzEwnoy0rKwuzZs3COeecgwsuuABXXXUVxGIxqqur8fvvv7s8rpycHCQmJga9pDvC34Ndu3YB6KkeDaU8n1wuR25urkdt2jMNIjMQjIxRfxGLxbjuuutw6aWXYty4cU4LZ8cxn+M4j4kms2bNgkgkQlVVFcrLy0N6zL6SnJyMmJgYWK1WqqceKmJiYlBQUOBz8+ExY8ZAJBKhtbUV1dXVkEgkKCwsdNm/4+8KWcg6BvbGjx+PNWvW4Kmnngq43xKx2SUSicfM2VtuuQXR0dE4fvw4fvrpp4B+M5yQSqXU6eRKBs0dmZmZGDp0KBITE5GWlsYrQYlU6RYWFmLGjBkD0tMpwplPSkoKkpKSgu4EIw2qfcn07urqos7YYFYL1NbWoq6urs/ajQ9HjhzB5MmT8cUXX/RLYqFKpUJSUhLy8vIGJJGRBE1KSkro3zZs2ACz2YzLLrvMp30Fs9KkN9u2bQPQM7+ZzWYMHjwYOp3ObUKer1RUVGD27Nmoq6tDYWEhfv31V6SlpWH37t0499xz3co+Az3XzmAw0Gd4x44dXiW+CWQ9607asqurC7t37wbQE1iz2+1obW2FRqOBTCZDXFwc7HY7amtrodfrYTabMWHCBIwdOxZPP/00Xn31VaxcuRJbtmxxmQSq0+nw+uuvAwANXA4fPrzP+0iCOp6SMLq6uuh5BzNo8tprr6G9vR133nmn222sVit93/kGTUgvF0/JTMT+J+9HamoqoqOjeUn4kX4l7oK3ZN+9AxnkWYuKiqJjwjPPPAOz2exSyssV5F0k4ysJ0FRVVfkUTLZYLIiLi4sETf4OcByHHTt2OGnrLV68GLfffjsuuOACjBs3DmlpaWBZto9GudFoxLvvvouNGzeitLQUer3e42+ZTCZYrVY0Nzfj/fffxzvvvIPffvsNa9euRWVlJaxWK81ACjf6Y6ImJedRUVGRHgIhQi6XY9CgQdSxnJiYiMTERLzzzjvo6urCgw8+iB07duDFF18c6EMNe+Li4pCbm4u4uDin7B+O46jjLNwCoOGGWCzGpZdeitGjR4PjOKxfv56346GjowNff/01OI7DmDFjMH/+fF7jVGJiIs4//3zk5+fjrLPOcrmNTCaDUqmMVFpF8Jm2tjacOHECAELe0Pt0gyzmKioq/MrwtNlsdCEy0HYSwzAYNmwYFi5cSP+m1Wrx+uuvY82aNVCpVKivr8drr72GX3/91eU+oqKiaCXS559/3i/HzReGYZCfnw8AAWXKhRKpVIpRo0YB6Kk2CWcMBgP0ej0NooWq31FvyGLfsf8OwzC47LLL8K9//Svg/ZP30ZtMTWxsLG0C786+1Ol0/XZdgsmECRMA9GTQ882GFwgEPtsXxPkiEokwc+ZM3w4yQgSeiMVipKSkBCyRbTKZUF9fTxNCSaUJkTjmA3GsRkVFBbV/CMlMb2tr87nqYezYsdDr9fj555+DdjyemDx5MlpbW/HHH3/0y+/1xlWlCdAzj/iaSBsTE4PU1FSnapZA4TgO33zzDc3GJ87bpqYmaDSaoCSBOlaYOAZMLBYLrrrqKvz8888eZS6JQ33ixIm0afr333/PS72FBE3MZrPT9mazGb/++itef/11bNq0CZWVlZg+fTo4jsObb76JN954gzrEq6qqsHjxYtx2221YsGAB/vnPf2Lfvn0wm83Q6/Vobm7Grl278P777+PFF1/EunXrcOTIEej1emRmZqK+vh579+6l15ZUJzjirdLk999/x4oVK7B9+3YAwQ2aJCQkICEhwaPv0DFAyjeZTSAQeH3GBw8eDOCvClBiN5Nr5GncIvJx7gJuJGjS2trqtA1RMem9DhIIBLzHSXKtSACTBE1qampw4sQJnDx5kldw8/7774darcZLL73E63dDSSTNNYRYrVZ8++23OHr0KM2wF4lEYFkWSUlJSEpKohlEJNjhmNFZV1eHxsZGNDY2Ys+ePQB6svNycnKQk5ODvLw8uv3GjRuphABBJBJh0KBBGDp0KBQKBQwGA6KiosJWVoDjOOh0OphMpqCXiHIcR42ocJMnO9NgGIY2EnZctC1atAhHjhzBv/71Lzz99NP07xzHRZzHbiDN4Ql2ux1qtRo2mw0sy/6tMsD9hQSqxWIx9u3bh59++glGoxEzZszw+L34+HjMnDkTra2tWLRokU/P6PDhwzFs2LDIcx0h6JAqk8LCQp8z5890GIaBWq2mjSl9XTiTxBSRSBSWiRWVlZWwWCw4ceIEysrKkJiYCLVa7TGb9bnnnqPO5HCjoKAABw8e7LcqGI7jYLfbfXLWTZw4EX/88Qf27t2LtLQ0pKenY/DgwWFnR7e2tqK7u5v2Lezo6EBeXl7In2Pi5GhoaMCJEyeQlJTEO8uSD+Sd5KPtf/fdd+OVV17Br7/+igMHDvSpCHrnnXfQ3d2Nm2++GWlpaUE7xlCTmJiIQYMGobKyEvv37w+ZvBhxhlitVlit1kglbISQw3EczGazX1VN3d3d6OzspH1K4+LiUFBQgPb2dlRUVGDcuHFe9xFMx6ojcXFxaG9vh8lkQnt7u0/90ci4VVJSAqPR2G/N4P1tXh8oripN/KX3mjkYMAxDg+25ubmw2+1UvvDxxx8PuJqyvr4es2bNQn19PYqKirB161akpqYC6LFF3333XcybNw9vv/02LrzwQiq7SmhtbUVraytNtMnPz8ebb76J6upq/Pnnn17lsch9t9vtdNwvKSnBL7/8QgOSubm5tHdoXV0dBAIBkpOTUV5eDovFgtmzZ7u0t1NSUnD//fejvLyc/mcwGHD06FEcPXoU06ZNw9y5c1FYWIiffvoJt956KxITE13OQVKpFHa73e1YQWyRiooKauuRHrv9AUmOVyqVQZ07lUolsrOzsXTpUhw5coSOJXwqTYj9ZzQaXd6f2NhYKJVKqNVqVFdXY/jw4bDb7UFJHuvdr4UETRiGoRUwvtji4WBzRyyiEGEwGLBmzRpUV1eDYRhMnz7d4+JFKBTSBpkEor9bXV2NmpoatLe308Fx//79WLhwITUKiK5wYmIi8vPzUVBQgKysLPqbZFEazpnpRqORXq/Y2NigDjo6nY5W2oTzNTiTcOUwTkxMxMqVK53+dvXVV1PjIyIH4B6O49DY2EgrpqKjoyNOeZ4wDINzzjkHMpkM27dv57U4YBgGM2bM8Duo5/idEydOoKCggNeYplarIRAIgpopFeHMQKVS0Wy86dOnD/DRhB8MwyAmJgYdHR3o6ury+R1yzK4Kx7F15MiRSE1NxaZNm1BRUUH7PBQUFLj9zk033YRp06ZR6ZJwIi8vDyzLQqVSoaOjI6R66h0dHWhubva5zH/SpEl44403UFJSgri4OIjFYjz00EMhO05/sNlsTrJy9fX1MJvNqK6uRl5eXkid36TSRKPRYOnSpWhoaMD69esxZcqUgPfNcRzvShOgRyrz6quvhtFo7NPricgWA+G9DnLHhAkTUFlZiUOHDmH27NkhCYZ1dnbCZrNBIBC4vIYRIgQTi8WC2tpamM1mDBkyxOfKE0cJGcLOnTuRnJzMe/4OVdCEYRikpKSgtrYW7e3tiI+P5/XOEmfvE088geeffx5Hjx4N2Ckf7gwbNgxAT/BArVYjLi4Oc+fORUxMDD766KOwkFNfuHAhFAoFsrKyqK8tOTkZw4cPD3jfycnJGD9+PKKjo50CJoS5c+fijjvuwOuvv45ly5bh6NGjTsm/crkcn332Gerr6yGXyyGXyzFz5kxs2bIFmzZtwpAhQzwmWLIsC5FIBIvFgsbGRiqjBfQE/+bPn4/CwkL6Tjn6KgcPHgyNRuNxrlAoFBg1ahRGjRoFu92O+vp6lJWVoby8nFaHFRUV4eDBgzh+/DiKi4upnL7jXO0t8EgUTkhly91334277747KL2S9+7di48++ghDhgzBPffc43IbEjTxZSwhfh2LxYKsrCyXYyDDMJg3bx4YhkFbWxumTZsGjuOonJon24j41NxJrwE91SYHDhxAZWUlhg8fTvuZiEQiJ1/J+eefD4VCgVdeeYVXELi3VF5KSgqkUimtnJFKpWG5zvJEJGgSAkjj4fb2dojFYixZsoQ+JL4gl8sxfPhwOijrdDrU1taiuroatbW1yM3NpduOGjUKRUVFiIuLA8dxaG9vR1VVFQYNGgSO42gZVzgvFqRSKWQyGQwGAzo6OnzKzPAEx3E0EzMuLi4sopURetizZw+VDdmwYQM++eQTt5JG/QHHcaipqUFXVxeV5QgXOI5zKvMO53c5HGEYBrNmzcLgwYORlZXlcpv29nZs27aNVqaQ7wXCxo0bsWfPHowfPx7nnXeex22bmprw+eefQy6X44Ybbui3DLMIpwfHjh0Dx3HIz88Pm4be4UZsbCw6Ojqg0WhoRiBf3JWkhxPJycm46qqrUF5eji1btsBut9OFpysYhkFRUVE/HiF/JBIJcnJyUFVVhVOnToU0aCISicBxnFeZ294QuQtyDfn2h+hPNBoNOI6DRCKhfYgqKythMplQU1OD3NzcgKVw3CGRSHDzzTfj3XffxeHDh5GcnBy0AJ3FYoHNZgPDMLznwlWrVrl850nARCAQhPX77Y6CggKaEXrkyJGQ9NU5efIkKisrkZyc7HFMiRAhGAiFQtjtdthsNrS2tvpU/WW32+l87eiw9dVv4I+jky/R0dHUp9HW1sbLZjOZTNDpdFi0aBGeeuop/PHHHyEPmlx66aXo6urCCy+84LUqIRTExsYiOzsbtbW1KCkpwejRo6nkqK/BYbvdDqPRCLvdHtSgr1QqxcSJE9HQ0ACBQBBUW0UsFuOLL76ARqNxW6X53HPPYePGjTh16hTuuusufPLJJ/SzqKgoLF261Gn7yZMno6SkBBKJBGaz2asqBXk2P/roI9rsfvr06Zg8ebLHpAuhUOhTX0WWZZGdnY3s7GzMmzeP/p3YVydOnEBcXBxsNpvP914gECA3NxdlZWWoqKig40kw7LWKigq89dZbmDNnjtugCQAUFxc79SD0Bulba7PZYDabXQZAtFotMjMzwbIsWlpakJ+fD6PRCI7jaMDLHXyCJrNmzUJaWhpNMlMoFBg6dCgsFgu9diaTCd9//z0A4M033+R1br0rTRiGQW5uLpUX45MkzXEcJk2aBKVSiY8//njA1RUi3uMg09jYiPfeew/t7e2Ijo7GDTfc4FfAxBUKhQJFRUU499xzaQkbQS6XIy4uDsBfL6HZbIZKpQLLssjIyAj7xsMMw9BzUqlUQdUeJucdkeYKLyZNmoR169YhOTkZx48fx8SJE/Hvf/87JE3cXGG323H06FG8+eabuPLKK5GVlYW8vDzcfffddBubzYaHH34Yzc3N/XJM7iDGRlJSEmJiYiKVCH7iGDAxGo3YsmULbDYbOjs78cknn+DYsWPYuHFj0H6PlKTu37/fY/l5RUUFPvzwQ2i1WjAMQw2NCBEI06ZNw7XXXou5c+cO9KGELTKZjDrIHZume4PjOMhkMojF4rB3qjIMg4KCAixfvhy33377aR1cHTt2LGbPnk0XUqGCLEZNJpNPGvMFBQUoLy+nkhjhGKwk1ackI1csFtNAicFgQG1tbUh7eXR2duKZZ54BALz66qtBcyiZzWYwDAOJRMI7+OluO3KN4uLiwi7oxQeWZTFhwgQMHTo0ZI6DqqoqVFRUIDo6esCkev5uPPPMM5gyZYrTGr43tbW1NMs3MTERd911F22KfDrDMAzNqlepVB4de73R6XTgOA5CoTAghYJQVZoA/p0fqazr6uqC3W7HgQMHgn5cvdm+fTt++eWXAR0Xn376aaxevRpFRUV0rBYKhbwqDB2xWCyorKxEbW1t0I+RHFdiYiJNQqivr8dPP/3kc1+28vJyPProo7QKgvSAdYdcLsdHH30ElmXx6aefYt26dR73LxAIcPXVV+P66693Oa4YjUb8+eef+OKLL6DX6xEdHY3o6GjMmTMHI0eOxB133IHp06e79RkGo3rDkcLCQgBAaWkpkpKSkJqa6mTX2u12XjYM8beS/jPBgthWXV1dbreZMWMGjh07hu+++86nffcOLvRm3759YFkW9fX1qK2txeDBg2nAWCaTeXxvHYMm7u7Ziy++iO+++w6zZs1yOibHQFtrayv9O18/au9G8ACwYMEC+jt81i0ajQb79u3Dxo0bw2JdFr4e9NOUrVu3QqfTISUlBUuXLh0wx2ZCQgLq6+uhUqmQlJR02gQLYmJiIBaLYTaboVarg7L4YhgGaWlpiIuL83kCjhB6LrroIkybNg3Lly/HunXr8Oijj+L777/HRx99FFJJkWuuuQbff/89NYQIQqGQai4yDIOXXnoJ//3vf/HOO+/g9ddfxxVXXDFgxiUp+Y4QOBzH4csvv0R1dTWam5uhUqlopk8wndJDhgzBtGnTsGvXLnz33XdITU3tYxwfOXIEGzZsgN1uR25uLi6//PLT2hEagR9E19UXJy7JnnLVKDFCD3K5HGq1Gh0dHT45VOLj4xEfH0+zFf1BIBDQOSSCd4g0R6gRiUQQCoWwWq0wGo0+L8CampoAhF/QxGq10gW0o4yJVCpFbm4uqqqqoNPpUFdXh+zs7KA/l3a7HTfddBMsFgsWLVqEJUuWBG3fUVFRKCoq8rmRMsdxOHr0KA4dOoTrrrsOQN/A0unIxIkTMWnSpJDs22azoaamBgB8ypSNEBhmsxmXXXYZJk+ejFWrVvX53GazYeHChUhKSsKuXbvQ0dGB6667DhzH4bXXXhuAIw4uxFnb3d2NhoYG5OXl8RqjHKW5em9/4403YsuWLfj555+9VllecsklGDRoUB959GChUCgQFRUFm83Gy+lL7A6RSOTy3IKNVqul1TaO6iX9zbXXXkv/P0ku8yfATRy1xMkeTGWRnJwcdHZ2Os0hjzzyCD755BM888wzeOSRR3jtp7q6GrNmzUJDQwNkMhnv702ePBkPPvgg/vvf/2L9+vW4+OKLAQCrV69GUlISJk+e7GTX9K60MRqNOHnyJI4fP46Kigo6r5aWllKFj+LiYhQXF3s9ls7OTuqjC8ac6lhp4koSW6vVora2FlFRUR6fUxI0qa2txaWXXgqNRoMVK1bwOidP8Ama+ItIJILRaHQZCDebzfjjjz8A9CgKffPNN/jll18wa9YsXj3rxGIx9WdZLBa/kyGIFLAv0ocSiQTx8fFOv7lixQqUlZXx7mPV0NAAoOf6R4ImpzFmsxlNTU1oamqCTCajUj4XX3wxtmzZgvnz5w9of4aYmBgIBAJYrVZoNJrTZqHAMAwSEhLQ1NREdUD9NRqMRiMkEgkYhgHDMJGm2WFMUlISvvrqK3z22We44447sHfvXixevBjHjx8PiqyEwWDAzp07nRpodnZ2orOzEwqFApMnT8b06dMxffp0TJgwwWlwPuecc7B69WocPnwYS5cuxVdffYW33nprwMsEIwQGwzCYOnUq6uvrac+nuLg4XHPNNUEfK2bPno36+npUV1djzZo1uOmmmyAWi8FxHH7//Xf88ssvAHoayF9wwQVhXREYITgQG8JXuaAI3uE4DhzHQavVorKyst8DGHK5HGlpaZFs7TBDLpdDo9HAYDD4tACz2Wy00jTcGoiTRbxMJuuz5pDJZMjJyUF1dTW6u7tDshZ48803cejQIVxwwQVe5Sf9gWVZnx1f5eXlGDVqFEQiERYvXgylUkmv0+myFnJFKMex+vp6WCwWKBQKxMTEoLOzEzExMRE54xDz5JNPAgA+/PBDl59v2rQJx48fR11dHQ3YvvTSS7j++uvxzDPPnBEV52lpadBqtdDr9VCr1bzkfkjQxJVMcXl5OWpra7Fnzx6vQZOCggKPPcGCQVZWFliWpe+v3W6nfonekEqT4uJidHV1hfz9q66uBtCjwhEuY2MgYzW5ziQhKZg2GMuyfZ5Nkth58uRJ3vt59NFH0dDQgOLiYixbtsynY3jiiScwcuRIXHHFFQB6bN1bb70V3d3dKCkpcZmEYjKZ8O233+L48eNOf09MTERxcTFyc3Opr9Bms/GqulKr1bRCJRgUFBTgt99+o71TbDYbDAYDZDIZBAIBDSh4ex/i4+MRFxeHzs5OVFdX48CBA0GpsiXPYu8k22CgUCjQ3d2Njo4OxMfHO53joUOHYDAYEB8fj9tvvx0HDhzAn3/+if3792P8+PFebQKGYSAWi2EymWAymdy+D6Qyn2EYdHR00AbxBGL/9u634wmRSNQnychut9N7yScxtLGxEQB86kMYSkLmmamursbTTz+NrVu3orm5Genp6bj66qvxr3/9y+Mgdv311+Ojjz5y+tvEiROxZ8+eUB2qVziOQ21tLQ2SNDY20sg80NN8iARN5HI5zj///IE6VAoZ3Nva2lBXV0dlJ04HlEolWltbYbFY/F7kGQwGVFVVQS6Xu22uFCG8YBgGV199NWbOnIlly5bhgQceCOi+2e12bNu2DZ9++im++uordHd3o7y8nGYiPP7443jssccwevRoj9H6kSNHYt++fXj22Wfx9NNPY926ddixYwfefPNNXHbZZX4fX4SBJz8/H9dccw1Wr14NsViMa665JiSLUJZlcckll2DlypVoa2vDjz/+iAsuuAC7d++mAZPJkyfj7LPPjmSo/w2w2+2oqqqCQCBAeno6zQaKEBw4jqPSPkKhkJfjwZMjw9ffbWtrQ1VVFQoKCiJORx4YjUZUVFTAarWGtJeYTCaDRqPxOVC5bds2qjnti353f0Cch+7sZIVCgezsbJhMpqA7xWpra/Hwww/DbDZjzJgxaGpqQkdHh0eZkf6goKAAw4cPR0lJCTZs2IDrr7+eOuLcSSCdTqjVatrrIFjnQ+RM8vLyUFNTA6vVikGDBkWSzQaY3bt3Y/jw4U7OpwULFsBkMuHAgQOYPXu2y+8RJxmB9PQJR8RiMVJSUtDc3IyWlhbExMR4TBxydIK6Cn5PmjQJO3fuxJ49e3DDDTeE5Jh9ofc6trm5GRaLBRkZGU7nyXEcDZooFIp+sR2qqqoADGyVCdAj4bN161acOPH/2bvvuKau9w/gnyRAwp6yZIMKCOLAgQvcq1q3tmpFLbZuq7bWUXfVWu3QVq2te9StddRVEScoKrhARJkie88wcn9/8Lv3S2QFSAjg83698lKSm3tPLiH35DznPE8oF8SqzWcbj8fjJgzXdIViZarqG5ZNKyWLlJQUnDhxAgCwd+/eGmeOEAqF+OSTT7ifY2NjkZ2dDVVV1UqDf1FRUVzApFmzZtxqkrITPwsLC/Hu3TsuTX5V/eDCwkKuDyWvPoWqqiq6du3K/czWZLOysoKOjg6X4qm6cUwej4devXqBz+dj48aNAOSTeq/sSpOKVsIAwLx583D9+nUsX76cC2rJwsDAACkpKSgqKkJGRgbXx5RIJNzYd5cuXcDn89GmTRv8999/SElJQVRUFJf+u7q2V1UjJjY2Fi4uLiguLkZ4eDhycnKgpqYmFTRhV5rUNdOJRCKBnp4e8vLyZJocyq40afJBk5cvX0IikeCPP/6Ag4MDnj9/Dh8fH+Tm5mLz5s1VPnfgwIHYu3cv97OyB/t5PB5Onz5drtOhra0Nc3PzSosKKxsbNAFK89EpavmpvLEBn6ysrFoNYBQWFiI6OhoSiaTSDzfScFlaWuLKlStSv7fDhw+DYRhMmDChyt+nWCzG06dPcerUKRw+fBhv377lHrO2tkZ0dDQXNHF3d5e5TaqqqlixYgWGDRuGyZMn4+nTpxg7dixWrFjBzRQjjZOVlRW++uor8Pl8ha7w0NLSwqhRo3DgwAE8efIEnTt3houLCx48eIDOnTvDw8NDYccm/yPrhI6KPmd27NiBL7/8ss5tKCwshEQigaWlJQ1KKYhIJJL52s8wDJcWg12dWltsTZXo6GgUFhZSmj0ZxMbG4uTJk9DV1UWbNm0U1mdj07OyA1OyYj8X2JS3iixYX1NWVlbIy8urcmU7mwKHJa9+sY6ODj755BOEhobCwsICb9++RVxcnFyCJgUFBXj79i00NTVrtbpnzJgxeP78OU6cOAFvb29YWlqiuLi4waVXq40LFy4gIiICEomEq7VTV+zgqa2tLUQiEXJyclBQUEDXJyVLSEgoN1Clr68PNTW1KussbtiwoVF9NzE0NORmcZeUlFTZF+fz+WjRogWKi4sr3I7tS8sy2fbUqVMASosh18fnOpt6nGEYvH79Gs2bN+c+m9m6A3w+X+rzXN5ppspiV5rIMviqSBKJBEOGDEFJSQl++OEHALUfkGfTcMqrNmpycjIyMzNhYmJSrk1lV5rIcl3dt28fxGIx2rdvj44dO9apXZmZmfD09OTaUdlYaatWrbjsBpUFEFRVVbkVOmlpadDQ0Ki0lhj7d6qpqamw8Vl1dXWIxWLk5+dLBU1kKQ7fpk0bJCcnc316efxds7/3oqIiFBQUVJjqPzw8HC9evKhxal8+nw8jIyMkJCQgOTkZ+vr64PF4XNCouLgYbdu2BVD6/aRt27Z49+4dnjx5ItPfbXVZUUxMTJCdnQ2GYbjJJe8Ho2sbNCkuLkZRURGXHjcsLAwdOnSArq4ut8+qfDArTQYOHIiBAwdyP9vZ2SEsLAw7duyoNmgiFAprtASoPjg4OCA3NxdmZmYwNzeHmZlZuXyBDY2qqioMDAyQnp6u9JlfNdWsWTOp3HmyfskrLi7mZkkJhUJYWVnRTM9GqOzvOiYmBl9++SVycnLw119/QVtbG1lZWcjMzERmZibmzJmDBQsWACjtuHTq1Il7rp6eHsaOHYuJEyeiW7dudX4vtG3bFoGBgVi3bh1++uknjBs3rk77Iw1DfQXmbWxsMHDgQBgaGnIDQTNnzlT6xIAPSU0mdOzdu1eqHyPvmdp0bVKcstcQNr91ZQMx7MzVuq40YdHvtWZsbGygoqKCzMxMJCcnKyz1pbq6OrS1taGurl6jwEG3bt2wcOFCvH37Fg8ePMCgQYMU0r7a4PF4NU41Fh0dXetc5AkJCcjMzESrVq2gp6eHXbt2QSwW48aNG1zQRB6rhfLz81FQUFDrv6UxY8Zg5cqVuHbtGjIyMtC+fXsub3tj5+HhgYiICDx69Ag9evSoc2CjuLiYG8Cws7NDQUEBcnJyahxcJKVWrVpVbcAiMDBQ5olbFX1OVff5tWTJEu57EVC60qShTvAESl+jtbV1jeqBVXY979y5M4DS2hjZ2dlVphBauHAhoqOjERAQUC9BEzU1Ndjb2yM2NhZisZj7LDYxMeGCQOzK4+PHj2P58uXo2bMn/vrrL4W0p6GsNBEKhWjZsiVCQ0MRGBgIVVXVWq+iY1f2yCNowjAMMjIyUFRUVGEhbQcHB/D5fGRmZiIxMbHKsUuJRIKdO3cCAGbMmFHnvua0adO4oFd1teGqG3Tm8XgQCoUoKCjg6rex99nZ2XHXYfZ8APJftfngwQP8/fffcHBwwPjx45GRkcEFINiUTrIETQBwE8YNDAzkMhlSW1ubCyplZmZWGDRhMxDVZryVHavV09PjPtvV1dUxYsQILujAcnZ2hqWlJdLS0qr9fJOFmpoaLC0tkZuby63Oer9PmZubCz6fX+Ox+djYWOTm5qJ58+bQ19eHubk5xGIxkpKSkJubW23flV1p0lAmu9Rr4vTMzEyZlrb7+fnB2NgYenp68PT0xPfff1/pl6j6WoLaEFJu1YaZmRlMTU0b3Zf4su1lGAZRUVHQ1NSEoaFhpSmbJBIJYmJiIBaLoaKiAhsbG0rL1QSYm5vj22+/xapVq3Dz5s1yj5edbaWnpwcDAwP06NEDkyZNwpAhQ+Q+01dNTQ1r1qzBvHnzpDrZGRkZTSL1A1GsskE9QPkrKT80NZnQoaen1+AmcJCaYVNmsXVOKhqUYYMmja2f1FSoqqrCxsYGr1+/Rnh4uMKCJgKBANbW1jV+Hp/Ph6OjIwIDAxEQENBggia1WTGSmpqKvLw8CASCGgVNioqKsG3bNqxatQpOTk7w9/fn/l6EQiEsLCxw//59bmZgXbED9hUNTsjCyckJzs7OCAkJwblz56QKDTd29vb2MDMzQ3x8PAICAtC7d+867U9FRQVff/014uLioKenx802remMWVJq9uzZ1aZnkXWQ2tTUFPfv35e6Lz09HUVFRVXO+hUKhUqtq1obsgyIstfxqq7V5ubmsLKyQkxMDB4+fFhpCjPgf4Or8kjhIyuRSAR7e3skJiYiNTUVqampyMnJgaWlJRwdHbn+iJqaGsLDw2v9GSgLFRUVGBkZKX2lCQC4uroiNDQUHTt2xPHjx2sd9GAHyeWRnis3NxdFRUXg8/kVpm4WiUSwsbFBREQEwsLCqvy+8N9//+HNmzfQ1dWVSrFVW+vWreNWStnZ2dV5fxYWFkhPT0dBQQHy8/MhkUhQXFws9bfGrqCu7HzUxcuXL/HLL7/Ay8uLS6uXn5/PFTEHZP++HBkZCU9PT7mtWubz+Xj9+jV0dHQqHceuS9CEz+fDwcGhwva+/7koFAqRnZ2NjIwMPHr0CF5eXtXuv6SkBGKxGOrq6hUew9bWlpt8IRKJygWavv/+e6xZs4b7PciKbTv7t6ypqQkjIyMuvVh1wT6BQAB9ff0Gs9Kk3r4hvnnzBtu2bas2tcWgQYNw+PBh+Pr6YsuWLQgMDETv3r2lAiNlbdiwAbq6utytIc+kUAYej9foBwJyc3ORm5uLpKQkhIWFITExsdzFlGEYvH37Fnl5eeDz+bCxsZE5Ik0aNhUVFSxbtgxBQUH45Zdf8Oeff+LYsWO4fPky/P39MX/+fG5bKysrpKam4uzZsxg1apRCU6OUDZhcvnwZNjY2uHLlisKORwhRjMomdMyePRtGRkbo2LEjdu7cWW1BQbFYjKysLKkbUb6yMw/ZAEpZ7Jfrxt5XaswcHBwAlBbxbYjY2cvvD2Aqi1gsxsuXLxEfH1/hDNjKsAMdOTk5Mg8qXb9+HW5ubli4cCGys7MBQKquI/C/mawJCQlymeHLBk3qsoqCrTl38uRJZGZmyqUgbEPA4/HQo0cPAKWzc+UR3FBRUeECimy/uaCgoEbvLVLKyMgIjo6OVd5k/W7i4eGB58+fc7O/gdLi8EKhEB06dFDUS1AqiUSCxMTECtOP5efnIzQ0FLGxsVXuo0uXLgCqTtGVl5fH1Waoz6AJUNrXMDMz41bXiMViREVFSaXiYn+/L168UNiqr02bNiE5ORmzZs1SyP5rwtXVFUDpCiEej1frMRw9PT2YmZnVaAVmZdLT07l9VtY/lLWuibm5OSZMmAAfHx+5tM3R0RFHjx5Ft27dMH369DrvTyQSwczMDLa2tnByckLLli1hZWUltQ17rdHT05P7pOSy55H9fGT77GxfRdb3RHR0NHr16sXtUx7s7OxgZGRU6fuADcDWNrNP2WBGQEAAt7/3sb+DjIwMPH78uNp+jUQiQWhoKCIiIirt89nZ2XF93MqyKAkEghqPqbG/LzbYEhkZif/++w+tW7fmVrlV5ddff0VaWhpmzJhRo+MqSo2/Ia5atYpLYVDZ7eHDh1LPeffuHQYOHIgxY8bg888/r3L/48aNw5AhQ+Di4oKhQ4fi0qVLePXqFS5evFjh9kuWLOHS9GRmZlZ7ISWNj6amJiwtLSEUCiGRSJCcnIxXr15JfTkTi8XIycnhlvhSHvGmx8XFBfPmzcPnn3+OsWPHYsCAAejSpUuDWLZ3+PBhZGZmYsSIEbhz546ym0MIkVFlEzrWrl2LEydO4L///sP48eOxcOFCrF+/vsp90SSOhof98s123iUSCcRiMfdFg525ClDQRJnYIqYxMTEKneHOrjzKzc2Vafvk5GScOXOG62c8ePCgQQwkZ2ZmcrMHazKbUiQSQSgUgmGYaoO6MTExGDNmDPr27YvQ0FA0a9YMu3fvhr+/f7nVQHp6elBXV0dJSYlMuaqrIpFIuPdAXWZZs0GT2NhY/PLLL/j999/r1K6GxNHREc2aNYNYLMaDBw/kum81NTXw+XwwDFPphEUiHzExMQgODkZMTAxKSkoQHByM4OBg5OTkAAD69+8PZ2dnTJo0CUFBQbh+/ToWLVoEHx8fuc/0bijy8vKQnJyMlJSUcsGCnJwcqWt2ZXr06IEOHTpUmXKLHZRUU1NTWrp1bW1tODg4cDVyy/ZBLCwsYGxsjJKSEjx58kSh7WgItV9dXFwAAM+ePavTfrS1tWFoaFjnFTrFxcXcNbJsUez3zZo1CwcOHKi2vpSLiwsOHTqEH3/8sU7tKmvcuHG4c+eO3NOr8Xg8qKmplZu00KJFC9jb2ytkBT4b4EhISEBWVhY3jpebmws9PT1oa2vLHKhhV6QYGRnVy2QJNqUle8zaYhgGsbGxyMrKws6dO7lJKmUfZz8Tra2t8dlnn1X7vYXP53Pno7K+ta2tLRc0kUdAj8WuWCkqKkJJSQmKioogEAgQGxsrU9CE1RA+n4BaBE1mz56N0NDQKm/sBx9QGjDp1asXPDw8sGvXrho3kI3Eh4eHV/i4UCiEjo6O1I00LTweD7q6unBwcICVlRVEIhEkEglSUlIQFhaGgoICiEQi2NrawtLSUq5/8ITIYvfu3Rg0aBDy8/MxZMgQPH78WNlNIuSDIu8JHcuXL4eHhwfatm2LhQsXYs2aNdV+2fkQJnHcunULQ4cOhbm5OXg8Hs6ePVuj53t5eUmtDqwvbK5w4H8D52ytE6BprMptzAwMDGBoaAiJRIKIiAiFHaegoACvXr1CTEyMTMGPmJgYPH36lPsSn56eXun3kfpSNq94beqSsM9h0zBVJDg4GI6Ojjh58iT4fD7mzJmDsLAwTJ06tcK/Ex6Ph+bNm0NXV5ebvV1b7AoHgUBQpxXjzs7O8PX1xZ49ewCgSX0/LLvaJCAggMv5XlPZ2dnYsWMHrly5wv09sLnsAUrRpWgrVqxAu3btsHLlSuTk5KBdu3Zo164d11cRCAS4ePEiRCIRunXrhrFjx2L48OHV1oZtzLS0tLjPqLi4OKnPaXZgsrogx+zZs/Hw4cMqZ+CXTc2lzEE5FRUVWFlZlft84vF43GqTR48eKaNp9YpdaRIcHIyhQ4fi6tWrSm1PZmYmGIaBSCSqciLu4MGDMWnSJKXXhakPAoEA6urqCukr6+jocCtWQ0NDuXNeVFQECwuLGqVWnTJlCoRCIVRUVCpcsVYbu3btwsyZMyucpJCamgoANU57+j6GYZCamgpzc3N07ty5XL2S4uJibrVIjx49ZA7QsNfzyiZBODg4ICYmBvn5+VygLCsri3tdH330EcaNG1fjCTFl03Oxx87NzUVWVlaNgiYNRY1rmhgZGcn8S4qLi0OvXr3QoUMH7N27t1Z/ZKmpqYiNjeWK5pIPF4/Hg46ODrS1tZGTk4OkpCRIJBLuw0BdXV2huT8JqYyamhpOnjyJQYMG4datWxgwYABu3boFJycnZTeNkA9CTfOI13RCR5cuXZCVlYXExMRKc4k3xjziNZWbmws3NzdMmTIFo0aNUnZzakQgEEAoFHIputhc1QCtMmkIHBwckJqaioSEBDg7OyvkGEKhEDweDyUlJSgsLKz275Wt0dG8eXPMmDEDWlpadS68XVcFBQUoLCzk+sQ1pauri6SkJOTk5HDFh9/n6uqK1q1bQ0NDA9u2bUObNm2q3e+4cePkUnS1bD2Tugxm8ng89OrVC7dv3wYg/8K1yta6dWvcvXsXdnZ2tZ5NGxkZiaSkJAgEAqlzbWxsDIZhlP5eb+r27duHffv2VbmNlZUVLly4UD8NaiBMTU2RnZ2NgoICpKamwsjICCUlJVxAVh4rQ5RRz6QylX3Oubu749KlSwoJmjx79gyjRo1C+/btcfToUbnvv6bYugp5eXm4cOFCrfuX7ApMhmHqNImWTc2lr69fp+tQUVERli9fjs8++6zaGg4fOkdHR8TFxSE0NBSurq7Q0NCo1e9QIBDA1tYWL1++xJs3b+SSkeSff/7Bv//+iw4dOpSrTVpQUIDWrVtzE/RqKycnByEhIWjTpg0sLCzK1a1j+0ZCobBc7eeqjsvWQaksaOLk5IRly5YhPj4eHTt2REpKCnbv3o3i4mJ8/vnnXLanHTt21Oj1lE3PxU7AYNtQXdAkISEB/fr1g7W1Nc6fP98gVpso7Fviu3fv4OXlBUtLS2zevBnJyclISEgoF/FzdHTEmTNnAJS+WRYtWgR/f39ERUXBz88PQ4cOhZGREUaMGKGoppJGhsfjQVtbG3Z2drC1tW0Qf0iEaGho4Pz583B3d0dKSgr69u3bKCPphDRGNckjHhcXBy8vL7Rv317mCR1BQUEQiUQKH3hja3hVdHt/1m9V276f1qKy7Wpq0KBBWLduHUaOHFnpNtu3b0eLFi0gEolgYmKC0aNHAwC8vb1x8+ZN/Prrr9yXi6ioqAr3IRaL8c0333CpOVu0aIHdu3dzj9+8eROdOnWCUCiEmZkZvv32W6laCl5eXpgzZw7mz58PfX19mJiYYNeuXcjPz8eMGTNgbGwMZ2dnXL16FSoqKhAIBPDz8wOPx8PFixfh5uYGkUiEzp071zldBJGNh4cH5s+fX+fC1lXh8/nc54AseeLZWgLm5ub46aefsGbNGlhYWCisfbJgV4jUJF1FWUKhkDsHlaXoEggEuHTpEvz8/GQKmACQS8AEqDw1SG2xq3Len7XZ2PH5fHzxxRfo379/rVMSszWE3i8Era2tDR0dHbn9TgmpCVVVVS4FUFJSEgoLC7lVJmpqajIXhM7Pz+dmS7+vIQVNKsOuNHl/lbQ8vH79GuHh4Qpd2VkTfD4ff//9N/e7re2M/YKCAkRERCAuLq7WbWEYBqamptDT06u2HRKJBP/99x9+//33ClfmnTt3Dps2bUKfPn3kUu+rKWMnmr58+RJaWlowMDCAQCCo1aQAOzs7AKUpmOWhqhW69vb2eP78eZ2/K9y/fx8REREoKiqCRCLhAncs9v3FXu8TEhJw8uRJXLt2rcr9VrfSpG3btrh48SJWrlwJACgsLERBQQGKi4u5SSeqqqpVpqmrCNt/KC4u5tquqamJUaNGwdPTs8rnxsbG4vnz5wgODm4w47wKC5pcvXoVr1+/hq+vLywsLGBmZsbdygoLC+PegAKBAM+ePcPHH3+Mli1bYvLkyWjZsiX8/f2bXGeX1B2Px6MOPWlQdHR0cPnyZTg7O+Pdu3fYunWrsptECClDlgkd58+fx59//onnz5/jzZs3+Ouvv7Bs2TJMnz5d4StJtLS0Kr29P/PO2Ni40m0HDRokta2NjU2F28nbw4cPMXfuXKxZswZhYWG4fPkyevbsCaC0qJ+Hhwd8fHwQHx+P+Pj4Suu+fPbZZzh69Ci2bt2K0NBQ7Ny5k2tvXFwcBg8ejI4dO+LJkyfYsWMHdu/ejXXr1kntY//+/TAyMsKDBw8wZ84czJgxA2PGjEHXrl3x+PFjDBgwAJMnT+by7LK+/vprbN68GYGBgTA2NsawYcO4QoZEcdhaQIrGrkiuLmhSXFzMpSNoCLXTgNLBHPY7U13Ola6uLlRVVav8MmpkZFSrL6uy1ByoioGBAVq2bCm3wcynT58CKP2+2dTUZTDh1atX3CBPy5Yt5dUkQuRCX18fGhoakEgkiI+Plzk1F+vHH3+Ejo4OVq9eXeHjXl5eOH78OL7++mu5tVne3N3d4ebmBg8PD7nX0mInrLwfMFWmYcOGwcHBAUDtVwaWHaitLR6PBy0tLVhYWFQ7zsTj8TB69GjMnj2bC0KXtXPnTgDAtGnTaMyqGmzQJDo6mrvv3bt3CAkJqTT4WZEvvvgCa9asAVA6+C6P2lyypDWtC7FYjEePHqGkpIT7npmcnCz1d6+vrw9LS0sYGBgAKJ0M9+LFCzx+/LjKFJ1VBU0Yhin3t2Jubo5hw4YBKO03CYVCGBsb17i/oaKiAkNDQ5iYmHD9bTs7O5w8ebLaNM1lV3k3FAr76/X29oa3t3e125V9M6irq+PKlSuKahIhhCicoaEhrl27ht9++427aBNCGgZ2Qsfr16/LzRhn+yOqqqrYvn07FixYAIlEAjs7O6xZswazZs1SRpMblZiYGGhqauKjjz6CtrY2rK2t0a5dOwClXzrYGeRVFZJ89eoVjh8/jmvXrqFv374A/jdrDChdyWJpaYnffvsNPB4Pjo6OePfuHRYvXowVK1ZwK4fc3NywfPlyAKX1ZjZu3AgjIyP4+PgAKM0nv2PHDjx9+hRdunTh9r9y5Ur069cPQGngxcLCAmfOnMHYsWPleKZIVapLN1AXsgZN2BSw6urq3BfmpKQk3L9/H/369av17P66yM/P59LK1WUymaGhYYVBkevXr2Pt2rWYNm0aJk2aVOP9nj9/HqGhoRg1ahTs7e1r3T5AfsU/i4qKwOPxcPfuXcyYMUMu+2xooqOj8fjxYwwbNowLAD979gxGRkYVprdOTU3F6dOnAZQOzFaULz47O5vLca6pqdlgZnuSDwOPx4O5uTnevHnDFYAHZF8xZmFhgeLiYgQEBFT4uJWVFaysrOTWXkVo3rw5goODFbJvNhNCQ6vFUZd6XQC4zz+2Zp2iU6+yfdD79+/j5cuXUnWdw8PD8d9//4HH41VZX4eU+vTTTzFq1CgYGxsDKF1Zwa6GrUl9s3v37uH58+fo3r07GIZBSkpKnQffFR00efz4McRiMYyMjNCqVSuEh4ejqKgI6enpXJBEVVVV6u/Czs4OBgYGSEtLw7Nnz7iVae9jgyZsTZSyk8TEYjFev34NdXV1bjWJtrY22rZtC39/fyQnJ6N9+/a1qpvG4/G4/kdKSgoAyNxvZleKNZQJS4ACV5oQQsiHytzcHOvXr+dmlUgkkjoXRyWE1J23tzc3E/r9G2vgwIEICgpCdnY2cnNz8ezZM8ybN69eZonl5ORUejt16pTUtmxdgopuly5dkto2Kiqqwu3kjc1Ba2dnh0mTJuHw4cM1/uwLDg6GQCCodPl2aGgoPDw8pAbxunXrhpycHLx9+5a7r2xaIYFAAENDQ67YKACuNk1SUpLU/j08PLj/GxgYoFWrVggNDa3RayC1k5SUhCNHjuDQoUMKOwab9ik/P7/K2bvsTDdzc3PweDwwDAM3NzcMGzYMjx8/Vlj7qqKiogIjIyMYGBjUaTCIz+dXOAh+7Ngx3Lx5E3fu3KnVfgsLC5Gfn1/r1CgSiUSuM6rZgvIA8N9//yE7O1tu+24oiouLceLECTx9+pRbOXLjxg20bduWSxdbVmFhIY4dOwaxWAxLS0sMHDiwwv0mJCQgKSkJmzdvxpAhQ7hUdYTUF5FIhObNm8PBwQEmJibQ1NSUucYBex0PCgqSKRXjhyY8PBxAw1ppkpGRwV13a7vSpOyAMFs0uyaysrIQHx9fYaqtyrRq1QpA+dWM7CqTwYMH16iQ+YdKT08PJiYmXN+k7OqSmgRN2NR7PXr0wDfffCOX1Qrs+7GioMmWLVvQunVrbNmypdb7V1FRgYaGBjw8PCAQCLj64e+vNimLx+PB3d0dQOkq/8q2Y/dX0QQKNk1zWFgYdu3axaVB5vF43GSyLl26VFrLUxYMw8DIyAi6uroQCoVgGEZq9WBF2D5kQ1ppQkETQghRoOLiYkybNg2DBw9GWlqasptDCGnA2EGBim7vz9Cpalt2Nn1128qbtrY2Hj9+jL///htmZmZYsWIF3NzcuNmDsni/7e+raBUC+2Wh7P3vf8ni8XhS97HbypIvmWZZ1w+hUIjw8HBERkYqbKBLTU0NfD4fDMNUOTCSlZUlNVOOx+Ohc+fOAFDp7GVFU1NTg6mpaZUrtWqi7ISOoqIibvVBbVdVsV9waxs0SU1NRWhoaLlAZm2VlJSgS5cuiI6ORkpKSpMsqK2iooKuXbsCAG7fvo2srCxMmzYNEokE7969w/Tp06UGU9LS0pCbmwstLS2MGTOm0ro47PUmPj4eV65cqbT+FCGKpKenB6FQiGbNmsHW1lbmYLG1tTVMTExQXFyMoKCgco9funQJJ0+e5AbpG7LCwkLExMTIbX8SiYS7hrGDrg1B2etxbVealE3dXpsUXWlpaUhNTa3RigJHR0cApbU4WPn5+di7dy8ANNkVjopWNh2yrEETiUTCTRSwsbGR20qjqlaaREZGIiQkpFwNkpro2LEj5s+fDzc3NwClE7a0tLS4/mdBQQGSkpLK1aJs27YtVFRUkJCQIDVp7H2mpqYwNDQsd71n95eZmQlVVVWpSRbsxDNdXd1aB1dLSkpQUFAAXV1dWFpags/nw8vLC+bm5lVml6KgCSGEfGAiIiJw+vRp3Lx5E/b29tiyZUuNZrAQQkhjoqKigr59+2LTpk14+vQpoqKi4OvrC6B00Le62X+urq6QSCS4efNmhY87Ozvj3r17UgOB9+7dg7a2tlw62GUHxNPT0/Hq1SvuSzFRLF1dXTRr1gwMw8itgOf7eDweTExMYGlpWWVB4d69e+Pbb7/lBqQBcEGT+/fvV3mM4uJiREdHIykpSe656OWlpKQEYWFhXOFRPz8/pKamolmzZtUW6axM2aBJbV53fn4+JBKJ3IKUKioq6NevH8zMzFBSUoITJ07IZb8Njbu7O9TV1ZGWloZr164hJSUFZmZmUFVVxZkzZ7Bnzx5uW1NTU0yfPh2ffPJJlamO2OD1Rx99hKVLl0qtwCOkoSs7U7qiIPfatWsxZsyYaj/Lle3mzZvQ1tbGkCFD5LbP58+fIyMjA1paWmjbtq3c9ltXpqamWLx4Mb766isYGhrWej/swHBNV5oUFhZys99rUvS6opUmx48fR3p6OqytrStdzUfK27FjB4YNG4bLly9LTRSrLLj/voyMDO73zq7WAFDnflhVQRM20FDXOmyqqqrc6+Tz+bCxsYGOjg54PB5ycnKQlJRUrraLuro6lxLu4cOHNToewzDc+z05ORkvX77Eq1evuMdVVFRQXFyM4ODgWgcxExMT8ebNG6lJw2w/kU0RWJGyK70bCgqaEEKIArVs2RLXrl2Dq6srMjIysGjRIjg5OeHIkSMyzXAmhJCGIicnB8HBwVye7cjISAQHB3OzIC9cuICtW7ciODgY0dHROHDgACQSCfel0sbGBvfv30dUVBRSUlIq/Ay0sbHB5MmTMXXqVJw9exaRkZHw8/PD8ePHAQAzZ85EbGws5syZg5cvX+Kff/7BypUrsWDBArnMKluzZg2uX7+O58+fw9vbG0ZGRhg+fHid90tk06JFCwCosKiqvBgaGkJXV7faL+JqampSK59kDZqkpKQgOzsbSUlJiIyMrFU+6Pelp6cjOztbbkEYgUDABY2ysrK4v6+RI0fWOhWhqakp+Hw+cnNzuVzkNcGuLmJTqMnLmDFjAJTOLldEWkJlU1NT496bSUlJeP78Oc6ePYt169YBAObNmyc1oKerq1vtYAQ7YNWqVSuqz0capaqCJmwKn7oOdCpaixYtUFhYiJCQELmlec7Ly0O3bt3Qq1evBlecfOPGjfjpp5/qtI/arjRhV0RrampWOaHifWVXmrDXZ7FYjGbNmuGLL76QecCfAA8ePMD58+fx4MEDaGpqwtjYGJaWljJPpGD/rtkaiv7+/ti6dWudU6oOGTIE4eHhFU68YIMmZYM0smAYBkFBQQgLC6u2X8f2jSqqCdKxY0cAwIsXL8qtRGFJJBLk5+dL9X9yc3MhkUhQVFSEgoICnD59GhEREVLPW7t2LU6dOoUVK1bU6LWx2BVCubm53GtkV61UFTTR1NSEvr4+rTQhhJAPSadOnRAUFIQ9e/bA3NwcUVFRmDBhAjp37izXJdeEEKJIDx8+RLt27bji7gsWLEC7du24DrWenh5Onz6N3r17w8nJCTt37sTff/+N1q1bAwAWLVoEgUAAZ2dnNGvWrNLPvx07dmD06NGYOXMmHB0d4ePjw30ZaN68Of799188ePAAbm5u+PLLLzFt2jSu6Htdbdy4EfPmzUOHDh0QHx+Pc+fO1egLNKkbNmgSHh7e4FZpuLu7g8fjITo6GgkJCRVuI5FIuDQNPB4PeXl5ePPmTZ3qaUgkEsTHxyM6OrrSL8W1wc4ezMjIqHNqLqD0CzKb+7qmKbqKiopQVFQEQPZiodXJyspCZmYmXF1d4eDggIKCAly8eFEu+25oOnXqBDU1NSQlJSE/Px+dOnXCwoUL4eXlBVNTU5w9e7Zczv3KBAUFcYMdhYWFNMGHNEps0MTf37/cY+zgak0HOuububk5TE1NIZFI5FYUvkuXLrhz5w7++ecfueyvoTEwMICZmVm1qV7LYhiGu27XZJUJANjb24PP5yM7O5vrF0yfPh2xsbGYO3dujfb1oXNycgJQWruQx+PB2Ni4Rqsc3g+GFhYWIj09vVwwoKZ0dXXh4ODAFWVnpaamcoEIWT5LGIbB27dvcfnyZfz88884d+4cjh49ilu3blW4vUQiQXJyMrfCpaK+kbm5OVq3bo0+ffpUGgRl+6Fsv4xhGAQGBgIoTUnXo0cPFBYWVhjI4PP5UqnSaoJtT35+PvcabGxsAFQdNDlz5gzS0tLQp0+fWh1XERpWeJkQQpoogUCAKVOmYNy4cfj555+xceNGpKenyy03OSGEKJqXl1eVA9ndu3eHn59fpY+3bNmywgGM94lEIvz000+Vzjj09PTEgwcPKn1+RW2oKCd/Ra+le/fueP78ebVtJIrBps3Ky8vDu3fvFDLTjGEY5ObmIj8/H4aGhuVWKAUFBSEoKAht2rSRyvmuo6OD1q1b4/nz57h06RKmTJlSbt/FxcVQU1NDcXExbGxsEBsbi4KCAsTGxqJVq1a1mnWak5MDiUQCFRUVudYi0tXVRUJCAvLz86GqqgpjY2P07NlTpucWFxdDLBZDQ0NDahZo8+bNER8fj7i4ODg7O8vcFnYmpVAolNvM3Nu3b+Phw4fo3r07vvjiC0RERHCDMk3Ntm3b0KxZM8TFxeHWrVto2bIlBAIB9u/fj/PnzyMlJQW3bt1CixYtqlyR9/r1a3Tv3h1t27bFn3/+CYlEgoKCAoXUwCJEkdzd3TF27Fh06dIFJSUl3OdKYWEhN4DX0FeaAECHDh1w8eJFPHr0SCpdZF011VpttUkllJubi6KiIvD5fOjo6NTouUKhEH///TcsLCykBtWFQmGtB5s/VGWDJrWRn58PAwMDbvKGvb09/Pz8EBERAYlEIrcaJyxfX18MGjQI7du3R1JSEt68eQNra+tywYuMjAw8fPgQL168kKrxKBQK0bp1ay7AWxE2EARUXvNx9OjR3P9zcnIgEomk2sAGW4qKiiCRSPDy5UsujZmlpSW38jQtLQ2ZmZnl/oYSEhIQEBCAnj17lgscVaVsLRq2DbKsNGE1pM8oCpoQQkg90tDQwLJly+Dj44OYmBhuBnNRURFWr16NefPmNYpOPCGEECJvAoEA9vb2CA0NRXh4uEKCJjweD2/fvkVxcTE0NDTKDQjHxMQgNjaWmxFX1qeffoqlS5fijz/+gLe3d7kvdWpqarC3t0dxcTFUVFRgZ2eHhIQEaGpq1joYwA7w6erqyvVLpKqqKjQ0NJCXl4d58+YhISFBpnQtJSUlePPmDYqKimBqaio1w9La2hopKSk1+mIN/C9oUpPZwdUpe94WLVokt/02NAEBAViyZAlEIhHWrVuH9u3bcwHhx48fIyUlBRoaGhg7dmyV75+SkhJ89tlnyMvLg5qaGjQ0NJCTk0NBE9IoaWlp4dixY+XuZ+sCCASCGq8qUAZ3d3cuaFJXOTk5KCkpqXWNgqaKXWWip6dXq4F1doVmZmYmfH19MWDAALkP0H8I2KBJWFiYVKBTVv369UNqaiq3OtLc3BwikQgFBQV49+4dLCwsatWu7OxsbNiwAYWFhejcuTP69u0LfX19iMViMAwDExMTREREICIiAioqKrCxsYGDgwOXNjM7Oxt3794FUNrvcnR0ROvWrWFvb19ln4vP58PQ0JALnMjSPztz5gwiIyNhYGCAZs2acTc+nw+GYSAWi+Ho6IjU1FQUFxfDwcEBIpEIzZo1Q3JyMiIjI7laR4MHD4aWlhYGDx6M6OhoqKmpYfDgwTKft7LtZQOIbNAkKioKDMM0qMBIVeivmRBClMDY2FhqBuuff/6J77//HgMGDKhx8TpCCCGkqWjVqhVsbW3rVAy2OmzdDHawvqyqilAuXLgQGzduxPXr16v8ssd+WeTz+TA3N5capMrJyZG55odEIuFSeylioIvd59ixY/HLL7/I9JyMjAwulVZCQoJUyjAXFxdMnjwZHTp0qFE7FBk00dPTk9s+G5qCggJMmTIFEokEo0aNwvz589GhQwfw+XwEBgbiyZMn4PF4GD16NC5fvgx3d/dK33ubNm2Cv78/dHR0sG/fPpiamlaYkoSQxowdgKxolWFDxH6W1rTQc0VOnDgBfX39CldJNhUlJSXIzc2tUQ0YNTU1CASCOl8rDh48iMGDB2Po0KF12s+HysbGBmpqaigoKKhT+nL275rP58POzg4A8ObNm1rvTyKRYPPmzWAYBiEhIQgJCQEAjBo1CufPn8e1a9fg4uICbW1tFBcX4/Xr11Ir1i0sLNC+fXuMGTMGX3/9NUaOHIlWrVrJFARp1qwZDA0NZa7tkpWVBYZhkJqaipcvX+L27ds4ffo097knFovB5/PRo0cPtG3bllsBMmHCBMyaNYubIFFQUIBLly7hxIkTaN++PQAgODi4wj5zZYRCIZo1a4bmzZtzbbeysgKfz0dBQQESExMBlNZiu337NnJzc3Hv3j24uLjAx8dH5uPUB1ppQgghDUDbtm2hq6uLoKAgHDx4EN7e3spuEiGEfDCqSz1G6o+bmxvc3NwUegx1dXVkZWWVG1gpKirivlxWFDRRU1PD4sWLK9xndnY21NXVq/wiXFRUhNjYWJSUlMDQ0BAmJibg8XgoLi5GYWEh1NXVuS/8aWlpSE5OhkQigaqqqlwDCiwdHR3Ex8cjPz8fxcXFUukUKmNgYAA+n4+MjAzk5uYiNjYWDg4OdSoqrKWlBUB+ReAZhuHSYLADYRKJBHfv3kV4eDimTp0ql+Mo2+rVq/Hy5UuYmpril19+4QYmoqOjceXKFQBA3759YWpqim+//RZRUVGYM2cO9u/fL7Wf4OBgrFy5EgCwdetWWFtb1+8LIUQBGIbB69ev8fr1awwaNAhA4ykCz2KDJqGhocjNza3Tqq/bt2+DYZgmnRo6JycHsbGx0NDQ4AbMq2NiYgJjY+NaH/Pdu3c4d+4c5syZAwAYOHBgrff1IVNRUUHLli3x/PlzhIaGcqsS6sLOzg4hISF48+YNPD09a7UPbW1tdO3aFTo6OtDW1uZWkKirq0utAGMYBsnJyXj9+jXXpwFKVzfXNpDG5/NhZmYm8/YzZ85ETk4OkpOTkZSUhOTkZCQnJ3N9XbFYXOHzfv75Z6mfk5KSAJT2eV1cXODv74+EhAQ8evQI3bt3l6ktPB6PS5XGUlVVxbRp06CtrQ0ej4f09HTs27cP+fn5uH//PnR1dfHixYs6/T0qAgVNCCGkAejatSuWLVuGb775BsuXL8fYsWPlNnhACCGEkP9hAxDvz5pLSEgAwzDQ1NSEtrZ2lfuQSCQ4dOgQxo0bB4FAwM2MbNGiBZd6833sbNbU1FSkpqYiIyMDEomEC9jZ2dlx136GYbgVHYaGhgpJY+Dr6wt7e3tYWFjIFDABSr8I6+vrQ0dHBxERERCLxVw6M7aN+fn5KCoqkjk/vJGRkVyLMhcUFKCwsBDA/1bTBAUFoWfPnlBXV8e4ceMafcqphw8f4scffwQA7Nixg1sRUlJSgitXrkAikcDFxQUeHh7g8Xg4dOgQevbsiQMHDmDw4MEYN24cgNJzNXHiRBQVFWHkyJH47LPPlPaaCJGnV69ewdHRESKRCJmZmVBTU4OrqytOnDgh8+edspmbm2Pq1KlwcHBAcXFxnfZ1+/ZtAECPHj3k0bQGiQ3e1/Rc1eX6+ubNG8yYMQNAaeCfPkNrz8nJCVFRUVwavZpYunQpHjx4gK+++gpDhgwBUFrXBADevn2LgoKCCoupVyc3NxfdunUDALi6ulY6QYQtXq/MAX8ejwdtbW1oa2tLBQ2Tk5ORmJgIsViMjIwMCIVCiESiSt/3CQkJAEozo/D5fHTp0gVnz57FgwcP4OHhUafac7t27QJQGsDZs2cP8vPzwePxkJubi9zcXOjr61c4aUmZGv6aREII+UDMmTMH1tbWiIuLKxfxJ4QQQj4kubm5uHnzpkJWALFBk6KiIqnBlbKpuaobRBkzZgwmT56MDRs2IC0tDQzDQCQSVRowAf43a5BNUVBSUsK9PlVVVS4XN1A6u9HGxgYtW7aUa0CBVVhYiE8++QQtWrSQSiVREYlEgoSEBKlzJRAIYGlpCT6fj9zcXKSlpQEA7t69i02bNuHmzZtyb7Os2FUmmpqa3OBo+/btYWNjg/z8fPz7779Ka5s8iMViTJkyBSUlJRg/fjyGDx/OPZadnY20tDSYmZlh6NCh3Pu4W7duWLp0KQDgyy+/RGxsLABgxYoVePHiBUxMTPDHH39Ive/T0tIQGxtb6exUQhqyFi1aQF9fHwUFBXj69CmA0kHA0aNH4+OPP1Zy62S3e/duLFmypE4pGuPj4/H69WvweDy5FpRvaNjBXFlSXYvFYuTk5NS5j+Ho6Mj9f+TIkVQzpg727NmDrKwsTJo0qcbPDQwMxPXr17m+CFC60tTe3h4dOnTgJqHUlJ+fH9TU1PD27VuZJ4I0NGywKD8/H3FxcXjz5g03sYSVmZmJiIgIAOBSZ7Gr0lxcXKClpYXs7Oxq+4uyYBgGZ86cQVJSErS0tDB79mx06dIF+fn5SE9PV0g9w7qgoAkhhDQQIpEI69evBwD88MMP3NLIpqK4uJibuUAIIYRUpqSkBH/++Sf8/Pzkksv9fQKBgCtMWXa1SXx8PICKU3O9j52pv2nTJu56LWv9Bx0dHbRs2RK2trZo2bIlWrdujVatWkmldFBTU4OWllaVQZi6uH79OtLT02FiYoJ27dpVuW1SUhJSUlIQGRkpNcAkEonQvHlzGBoacq+d/TcuLk6mdhQUFNR6MKMyZYvAs3g8HsaMGQMAOHnypFyPV9/OnDmD58+fo1mzZti2bZvUY3p6eliwYAGmTZtW7r2zYsUKdOrUCRkZGfjss8+44u/t2rXD7t27ywXnMjIykJmZWaP6AIQ0FOwMaQAICAhQcmuUi11l4ubm1qTrPLGrAMpOSKhMamoqoqKiuMkStVV2peTs2bPrtK8PnZaWVq1X/VSWem/ixIkYMmRItauHK5KUlISgoCAAwJUrV6Rqgp08eRLOzs5YuHBhrdpbn9TV1WFqagpdXV0wDANVVVWp/oGfnx/09PS4Qu9s0IRNryUQCNCpUycApZ+ldQk0MgyD4OBghIWFQSAQYNy4cTAwMMCAAQO4oI25uTlSUlJw8+ZNqclEykJBE0IIaUDGjx+PDh06IDs7G6tXr1Z2c+QmLy8Pffr0gZmZGXr16oVTp07VeZk5IYSQpkkgEHCDXdeuXUN6errcj8GuNik7ICwUCqGtrS1T0GTMmDEYPHgwN2tXIBDUaIapiooKNDU1oaamppDUW9U5ceIEgNJipgUFBYiNja0wJUZOTg5SUlIAlM7Sfr+turq6MDMz4+63sLAAUDrY8P5MxvcxDIN3794hLCyMWx0iD/r6+ujatStcXV2l7meDJhcuXGjUgYDx48fjxIkT+OuvvypchcQWNn6fqqoqDh06BE1NTfj5+WHLli1wcXFBYGAgl86kLPZvpKCgQP4vgpB68H7Q5NatWzh58iQiIyOV2awaYRgGERERuHTpUq338SGk5gIg9blX1ffMtLQ0bkVCXVcP8Hg83Lp1C7du3eLqXZD6xwZNqkqPVZNC5kDpylmGYZCYmIjY2FhuQgYAxMTEIDQ0lJts05CpqKhI9RU0NTWl+nJsHbOoqChuZTEAqZok7u7u0NfXh5OTU50CGYcPH0b79u3x/PlzfPzxx1yfEfjfZBtzc3OcOXMGfn5+2LNnT63StckTBU0IIaQB4fP52Lx5M/r374/p06cruzlyUVhYiFGjRuHWrVsASmczjB49Gra2tvj+++9lWkJNCCHkw9K5c2dYWVmhqKgI586dk3uaLiMjI9jb20vNShw0aBAWLFiAFi1aVPt8Ho+H33//HRMnTgRQ+gWaLeLe0BUWFuLMmTMAgLFjx0IsFiMzM7NccKq4uBhv374FUBqIqC4oxDAMxGIxN5uxqsGE/Px8REVFccELeRa6NzExQb9+/bgBU5a7uztsbGyQl5eHixcvyu14yjB69GgMGzasxs9r0aIFfv31VwD/K/ZaWX5ybW1tGBkZ1WqGLiENwftBk61bt2LMmDGN6u8/ISEB9vb2+Oijj5Cbm1urfbBBk549e8qzaQ0Oj8erNkVXRkYGt7qkWbNmcvl8c3JyavIBqfogkUgwZswYODs71yjjBluEHSi/0oQVHR2NX3/9Fc+ePZN5v0OGDIGXlxcXRCgbNGEnkygifaqisJ8f79d0s7S0hEAggFgsRnx8PPLz8yEQCLj0XEBpH23OnDno2bNnnWqa2NjYAAAePXpUbmILGzSxsLBAly5dIBQKERcXhz/++AOPHj1SSLpeWTSOnj0hhHxAvLy8cOXKFbi5uSm7KXIRFBSEGzduQF1dHadPn8ayZcvQrFkzvH37FhcvXqzThZcQQkjTxOPx8PHHH0NVVRVRUVFyT9MlEomgrq5eYaBD1pUfpqamcHd3R0lJCebOnculNGjorl+/joyMDJiYmKB79+7cTNuCggKufgW7CqS4uBhqamowMzOrdr+xsbFISEhAhw4dAFScoquoqIjLqZ2bmwsejwcTExMuXZoi8Xg8fPLJJwBKc6c3JgzDYPfu3XJJ3Tp16lQ8fPgQmzdvrnI7LS0tmJqaSqWNI6QxYVPKvHnzBsnJydzAamMa6DQzM4O5uTkkEgmCg4NrtY/Zs2djwoQJH8TAflXF4LOysriJAAYGBkot2k3K4/P5ePjwIUJDQ/Hy5UuZn5eVlcWl+awsaBIaGgqxWIwzZ84gNDRUpv2qqanB09MTW7ZsQXh4OMaPH889xgZNKjteQ5Ofn8+ttHn/mq6iogIrKysAQGRkJL7//nsUFhZixYoVUtvVZVV0dnY2Dh8+DENDQwClE43K/o0yDAMjIyMYGBjA3Nwcrq6umDFjBmxsbFBUVIRLly7JdUVyTVDQhBBCGrjGnsaqc+fOuHTpEs6cOYMRI0Zg3bp1iI2NxcGDB6VSkKWlpcHT0xMHDx5s1GkzCCE1ExUVBR6PV+vBANJ0GRgYoE+fPgAUl6aLVVRUVONZbOwX0MePH+PVq1f46quvFNE0uTt+/DiA0tUKAoEAKioq3JdodiZleno6srKywOPxuILv1WHrmejr68Pa2rpc0CQzMxPh4eHc71FXVxctWrSQ+6BDQkICsrKyKvx9Tp06FQDw+vXrGqfqUBaGYbB8+XJ8/vnnaN26dZ1z8PN4PC6wRUhTpqenBycnJwClq02qm43eULF/r4GBgbV6/ueff45Dhw5JpdtpqoyMjGBmZlauplNOTg5iY2MBlE8rSRoO9u9V1sAG8L/UXFpaWlzR8/cNGDAAbm5uYBgGJ0+eRHh4eKX7S0tLk+o/2NrawsHBQWqFRmNbacKeI6A0Vef77OzsAICrK8Ln8yuczCKRSBAaGgp/f3+Zj11cXIxjx47h9evXCAgIgJqaGkpKSrgAJlDaL3n48CFSU1O5dGG6urr47LPP0K9fP/Tv3x/6+voyH1OeKGhCCCENVFpaGubMmQNPT88GUQSrpsoObvXq1QsDBgzgfhYKhZg4cSL69evH3bd7927cunULn332GfT09ODp6Yk1a9bg7t27ci8SSwipuQ0bNqBjx47Q1taGsbExhg8fjrCwMGU3izRxnTp1grW1NYqKinDjxg257jsrKwtxcXHIzs7GhQsXsGXLlhqlbtDX10erVq3Qpk0bdOrUqVEUBJVIJLh8+TKA0tRcLDb1VmZmJhiG4XJIm5iYyJw6S0tLi5u5265dO6lUFkDptV8ikUBdXR12dnawtLRUSKH7AwcO4Oeff65wVYaDgwMCAwMRFhYm15RgirR69WqsX78eQGkxd1lq7pCGKyoqCtOmTYOtrS3U1dVhb2+PlStXlqsBFBMTg6FDh0JTUxNGRkaYO3dutXWCSHlr1qzB2bNn0b1790Y3O5zVvXt3AMCpU6eU3JKGT19fH4aGhuWuLex3aW1tbVhYWFDApIGqTdAkJycHhoaGVQYFeTwehg0bhtatW0MikeD48eMV1jYqLCzE3r17sWvXripXNjS2oImJiQlUVVUr7T+wQZPq6j3FxcXh+PHj8PX1RXZ2drXHZRgGFy5cQFxcHEQiET7++GMuKCJLbSkej4euXbtyqwaVgYImhBDSQBUVFWHfvn24d+8eNyu0sdi0aRNcXFzw4sULmZ8zefJkfP/999wyzFu3bmHlypXo3r07DAwMuHzEhBDluHnzJmbNmoWAgABcu3YNxcXF6N+/f61zbBMiCzZNV8eOHSssVl0XOTk5SE9PR05ODt69e4fc3NxKZylWRlVVFR06dEBAQECjmL3P5/Px6tUrHD16FN26dePu19HRAY/Hg1gshlgshp2dHUxMTLhUCrJq1qwZNDQ0IBAI0LlzZ6nZjSKRCPb29rCzs4OGhobcXlNZYrGYW0Gip6dX4Tbu7u6Npv7M999/z63K3bJlC+bMmaPkFpG6evnyJSQSCf744w+8ePECP//8M3bu3ImlS5dy25SUlGDIkCHIzc3FnTt3cPToUZw6dapRBGYbmtGjR+Pjjz+Grq4uFwxubEGTiRMnQiAQ4M6dOzUaTAaAkydP4tmzZ41yAp486ejowNbWFpaWlhQwacBqEzRp27YtUlJS8OrVqyq34/P5GDFiBFq2bIni4mL8/fffiImJkdrm3r17yMnJgVgs5lbgBgQEYOnSpTh48CC3XWMLmgiFQrRq1YpbEfw+W1tbAKUrTQYNGoQxY8ZUOPHEwsIC5ubmKC4uxs8//4w//vgDFy9exJMnT5CWllZue39/fzx58gQ8Hg9jxoyBgYEBdyxZgiYNQePoLRJCyAfIxMQEixcvBgAsWbKEyzPe0P35559YvHgx3r17h//++0/m5xkbG2Pp0qWIiIhAeHg4du7ciTFjxsDQ0BB5eXlcJwoANm/ejJkzZzaac0KILAoLCyu9vZ+mr6pt31+ZVdl2NXX58mV4e3ujdevWcHNzw969exETE4NHjx5x29jY2GD9+vWYOnUqtLW1YWVlhV27dknt58GDB2jXrh1EIhHc3d0RFBRU7bHFYjG++eYbWFpaQigUokWLFti9ezf3+M2bN9GpUycIhUKYmZnh22+/lTpnXl5emDNnDubPnw99fX2YmJhg165dyM3NxZQpU6CtrQ17e3tcunSJe46fnx94PB4uXrwINzc3iEQidO7cuUYrEYh86OvrY/DgwXKve8GuNMjMzOS+AMtSu4MteF5W2UEYdl8Nlba2NsaNGydVU0wgEHADBFlZWRAIBGjWrFmNB5d4PB6srKygqqoKHo+HxMREFBQUcI+rq6srdMCKXd0iEomqfb+IxWKuwGtDtGnTJixfvhwAsHHjRixYsEDJLSLyMHDgQOzduxf9+/eHnZ0dhg0bhkWLFuH06dPcNlevXkVISAgOHTqEdu3aoW/fvtiyZQv+/PNPZGVlKbH1jVdaWhoXOGgsA50sc3NzbtLAX3/9JfPz8vPz8emnn6JNmzaNZoCyroqLi5Gbm4v8/HyIxWKp/q6GhkajCZh/qBwdHQGgRjVNWLL8bgUCAcaMGQM7OzsUFRVJpbzLzs7GvXv3AAB9+vTh6uMEBQVhw4YNOHPmDLetsbExTE1NG10AtjJdu3bFjBkz0Lt3b1y+fBknT56sMI0Xj8fD4MGDoa+vD4ZhkJCQgIcPH+Ls2bM4evSo1LZ37tzBtWvXAJSmR2NXs1QUNDl06BBcXFzK1VFpCFSU3QBCCCGVW7BgAXbs2IGoqCj8/vvvDf4L84kTJ/DFF18AAL799lvMmzevxvvg8XhwcHCAg4MDvvjiC0gkEoSHh3OpQ4DS5ekBAQEoLi4uNyBLSGO1YcOGSh9r0aIFPv30U+7nzZs3V5q2ztraGt7e3tzPv/76a4V1glauXFn7xuJ/g5Pvz1rasmUL1q5di6VLl+LkyZOYMWMGevbsCUdHR+Tm5uKjjz5C7969cejQIURGRsr0OfHZZ5/B398fW7duhZubGyIjI7mB6bi4OAwePBje3t44cOAAXr58CR8fH4hEIqxatYrbx/79+/HNN9/gwYMHOHbsGGbMmIGzZ89ixIgRWLp0KX7++WdMmjQJMTExUrPgv/76a/z6668wNTXF0qVLMWzYMLx69arCLxNE8RiGQWhoKJycnOo8+M4GTQoKCsDj8WQuep2bm4uoqCjo6OhIzVqVSCRYuXIltmzZgrt376Jdu3Z1ap+8MQxT5TnT0dFBUVFRnd/bbFHRuLg4qKurcwMP9YFNp1HZKhPW2bNn4ePjA09PT5w8eVLxDauhvXv3chNn1q5dy/2fNE2ZmZlS11J/f3+4uLhIpVIZMGAAxGIxHj16hF69elW4H3alGIsCLKVu3LiBP/74A0DpZ0NjvH77+Pjg3LlzOHv2LDZv3izT9e/+/fsoKiqCubk5N2DZ1GVmZiI+Ph4aGhpcrTJbW1u5T7ogisFOkoyJiUFOTo5MfbKaUlFRwfjx43H37l306NGDu9/X1xdFRUWwsLCAs7Mzd3/Z9KUsPz8/ubdLmTw9PeHp6cmtvFFTU6u0H9W8eXPMnTsXWVlZiI2Nxdu3b/H27VupSUclJSW4fv06AKB9+/ZS6bUGDBgADQ0NqXP/+vVrvHjxQmoFdENBYVZCCGnANDQ0sHbtWgClX5orWvbYUFy5cgUTJkwAwzD44osvuPzbdcXn89GqVSup+7788kvweDz8+eef3JcgQkj9YRgGCxYsQPfu3eHi4iL12ODBgzFz5kw4ODhg8eLFMDIy4r5cHD58GCUlJdizZw9at26Njz76CF9//XWVx3r16hWOHz+OPXv2YMSIEbCzs0OfPn0wbtw4AMD27dthaWmJ3377DY6Ojhg+fDhWr16NLVu2SKWjcHNzw/Lly9GiRQssWbIE6urqMDIygo+PD1q0aIEVK1YgNTUVT58+lTr+ypUr0a9fP7i6umL//v1ITEyUmm1G6g/DMDh+/DhOnDiB+/fv12lfmZmZOHbsGIqKiqCiogIXFxd88sknMj2XTfGioqIiNXDF5/MRFhaG/Px8jBs3rs4Fu+Xt4sWLaN++faXXTT09PTg4OMil2Cb793Xz5k2plSaKxg5qlJ1oURE7OzukpKTgn3/+qTAFhbINHjwYLi4uWLlyJbfahDRNb968wbZt2/Dll19y9yUkJJTLz6+vrw81NbUqV0dt2LABurq63M3S0lJh7W5M1q1bh2PHjmHAgAH47bfflN2cWhk4cCAOHjyIp0+fyjxh4Pbt2wCAHj16fDApqdggfV5eHoqKisDn86VWVZKGzdDQEJaWlmjTpo1Ues+qbNmyBX369MHhw4dlPo6qqiq8vLy490ZCQgKCg4MBAP3795f6e6koaNJUsdcXExOTaj8zdHR00Lp1awwYMADTpk3D4MGDuceysrKgq6uLVq1aYfDgwVL7GjFiBH766Sf079+fu4/tLzdv3lyeL0cuaKUJIYQ0cJMnT8Yvv/yCZ8+e4fvvv8eWLVvksl+JRAIejyeXTvS9e/cwcuRIFBUVYdy4cfj9998V2jmfPHky4uPjsWTJEsyZMwetW7fmiiQS0lgtWbKk0sfeX3K+aNGiSrd9/2+vNiu+qjN79mw8ffoUd+7cKfdYmzZtpNpiamrKDUqGhobCzc1NaiWHh4dHlccKDg6GQCCAp6dnhY+HhobCw8ND6nV369YNOTk5ePv2LaysrMq1SyAQwNDQEK6urtx97ADV+wOoZdtnYGCAVq1a1TinOJEPHo8HOzs7vHz5EtevX0eLFi1qXHOjrPj4eFhZWaFZs2bw9PSEtrZ2tc8pLCzkil9WdOytW7fiwYMHCA8PR+/evXHjxg2ZUn5V5OHDh9i4cSN69OiBKVOmQEdHp1b7YZ04cQJBQUGV1huT93X77NmziI6OxvHjxzF58uR6GbhiV5pUFzRp06YNOnXqhAcPHuDAgQNVfqYqg4mJCQICAhRW+4XI36pVq7j6M5UJDAyEu7s79/O7d+8wcOBAjBkzBp9//rnUthX9PVa3WmzJkiVSq9KzsrIocAKgS5cu8PX1hbm5OSZMmKDs5tSKiooKJk6cWKPn3Lp1CwCkZnQ3dWWvM6qqqrCxsanX1Y6k7qKjo2vUHwkODoavry8GDhxYq+MxDIMjR44AAFq3bl3uM/NDCZpkZWXh6tWrAFAuaF9T+vr6mD9/vszbx8XFAUClheqVSaErTWxsbLgBOfb27bffVvkchmGwatUqmJubQ11dHV5eXjUqJEwIIU2NQCDAjz/+CAA4cOCAXIouZ2ZmolOnTnBxcZFLjtvVq1cjLy8PgwYNwoEDB+plYGTx4sUYM2YMioqKMHr0aLx9+1bhxyREkdTU1Cq9vf+Fr6pt3087Udl2tTVnzhycO3cON27cgIWFRbnH3z8+j8fjVnwwDFPj47EplCpT0SASe5yy91fUrrL3lU2xVJ0PZcZmQ+Tu7g5bW1sUFxfjn3/+qVFx27Ip7XR1dTFq1Cgut7KsqyHYFZ+ampoVpvswNTXFjRs3YGVlhbCwMPTu3RuJiYkyt5F18uRJ9OjRA6dOncL8+fPh4OBQpxUbYrEYZ8+eBQCMHTu21vupiaFDh0IoFCI2NlaqXpAisYMa1aXnAsANUv/111+1+mySt927d2Pfvn3cz5qamvRZ04jMnj0boaGhVd7Krsx89+4devXqBQ8Pj3KpZk1NTcutKElPT0dRUVGVg1lCoRA6OjpSN/K/yQ8BAQFKbol8VFRX631FRUXw9/cHAPTs2bM+mtUgsNdlgUAAGxubOvV3iXLU9LrHrkipbX0RsVgMDQ0NiEQi9OnTp9zj7wdNAgMD4eTkJJU2uSno3r07vvvuOwB1D5pUhWEYJCYmIiAggKs5xAZNGuJKE4Wn51qzZg3i4+O5W3XLizdt2oSffvoJv/32GwIDA2Fqaop+/fpxM7oIIeRDNGDAAGzbtg0hISHQ1NSs074YhsHUqVPx6NEjhISE1DnFCQAcP34cc+bMwcmTJ+utc8rj8bB37164uroiMTERI0eOrNcUIKRxkmVCR0xMDIYOHQpNTU0YGRlh7ty5tSqc3tQwDIPZs2fj9OnT8PX15Qaba8LZ2RlPnjxBfn4+d191gxiurq6QSCS4efNmpfu8d++e1KDnvXv3oK2tLZfOd9n2paen49WrV1yhSlL/eDwehg0bBjU1NcTGxuL27dvIzMysdtD71atX+PXXX/H69WvuvhYtWnB1BIqLi6s9tkQiQXp6OoCKV5mwbG1tcePGDVhaWuLly5fo3bu3zCmgGIbB+vXrMWbMGBQUFMDT0xNOTk4YOnQoRCIRt11AQIDMA/15eXk4cOAAsrKyYG5ujq5du8r0vLoyNDTEqFGjAACPHj3Cw4cPFX7M1q1bo2vXrtwKs6qMHz8empqaCAsLw927dxXetqrs378fPj4+mDp1KjfQSRoXIyMjODo6Vnlj/4bj4uLg5eWF9u3bY+/eveVWk3p4eOD58+eIj4/n7rt69SqEQiE6dOhQr6+rKejcuTOA0pWpjT1wcu7cObi4uEjVbKtIUFAQcnNzoa+vj9atW9dP4xoAVVVVODg4oEWLFlTHpJGTtY9T16CJSCSCj48PvvrqqwrTk74fNHn37h1evnyJiIiIWh2voSpb98jU1FShx3JwcICHhwd3Dj/ooIm2tjZMTU25W1WFfBiGwS+//IJly5Zh5MiRcHFxwf79+5GXl8ctlyKEkA/V7Nmza90ZKGvbtm04ffo0gNLVGuPHj6/VfsrWV9HV1cXWrVvrPY2EpqYmzp49CwMDA7Rs2bJBzBQlDV9VEzpKSkowZMgQ5Obm4s6dOzh69ChOnTqFhQsXKrHFDcOsWbNw6NAhHDlyBNra2khISEBCQoJUAKQ6n376Kfh8PqZNm4aQkBD8+++/2Lx5c5XPsbGxweTJkzF16lScPXsWkZGR8PPzw/HjxwEAM2fORGxsLObMmYOXL1/in3/+wcqVK7FgwYJyA1G1sWbNGly/fh3Pnz+Ht7c3jIyMMHz48Drvl9Senp4e+vXrB6C0GOcvv/wiFdgMCAjA6dOnceXKFdy7dw///PMP/v77b+Tm5pYbkNbS0oKjoyOsra2rPW5qaipKSkqgqqpabSovOzs73LhxA82bN0dISAguXLhQ7f4LCwvh7e2NZcuWAShNrffff//hxYsX+PXXX7ntgoKC4OHhgdatW2Pnzp3cClSJRMIV8WSNGTMGWlpamD59OgBg9OjRcvm7kFWLFi3Qu3dvAMClS5fKtU/enJyc0K9fP5m+eGtra3O1kf766y+FtqsqkZGR8PHxAcMwmDVrFrp06aK0thDFe/fuHby8vGBpaYnNmzcjOTmZu56y+vfvD2dnZ0yaNAlBQUG4fv06Fi1aBB8fH1o9Ugtlvz/Nnj1biS2pu+LiYoSEhGDv3r1Sqyffx9Yz6d69e71+5jcEIpGIUnI1Yk+fPkXbtm3RsWNHmbZngybGxsa1PqZAIKh04icbNCksLERBQQFSUlIAlAbKm5KyQRNFrjTh8XjcxLvIyEiIxWLunH5w6bkA4IcffoChoSHatm2L77//vsqZmpGRkUhISJAqCCMUCuHp6Yl79+5V+ByxWIysrCypGyGENHXbtm2r9HOxKoGBgVze7l9//RUbN27kHktMTJS5aG1ISAicnJzkVl+lLuzs7PD48WMcPHiw2jQ+hABVT+i4evUqQkJCcOjQIbRr1w59+/bFli1b8Oeff1bZx/gQ+iM7duxAZmYmvLy8YGZmxt2OHTsm8z60tLRw/vx5hISEoF27dli2bBl++OEHmY49evRozJw5E46OjvDx8eEGips3b45///0XDx48gJubG7788ktMmzZNbsWTN27ciHnz5qFDhw6Ij4/HuXPnKN1DA9ChQwd4eHhAR0cHQqFQ6ncSFRWFZ8+eISAgANeuXeOKe3p4eJQr9s7n8ysdXGEYRioYzw48GRgYyJQ+wt7eHjdu3MCOHTswderUarfn8/lISEiAQCDA9u3b8csvv3DF5st+ToWGhkJLSwuhoaGYMWMGLC0t4eHhAV1dXdjZ2UmtutTX1wfDMDA2NsbgwYOl6h3Ul+7du8PZ2RkSiQTHjx9vUJ+PPj4+AEpXzObk5CilDWvXrkVRURH69OmDrVu3UkquJu7q1at4/fo1fH19YWFhIXU9ZQkEAly8eBEikQjdunXD2LFjMXz48GonGZDKtW/fHkBpEeLGbOjQoTAxMUFiYiLOnz9f6XbTp0/HlStX8PXXX9dj6wipOxMTEzx79ozLilEVhmHqvNKkOtra2ggMDMSrV6+gpqbWZIMmbCBj+PDhWLlyZb0cKzIyEpmZmXB1dYWZmVmd6hQqDKNAP/30E+Pn58c8efKE+fPPPxkjIyNm2rRplW5/9+5dBgATFxcndb+Pjw/Tv3//Cp+zcuVKBkC5W2ZmplxfCyGENBR79uxhADCGhoZMWFiYzM9LS0tjbGxsGADMyJEjGYlEwj327t07xtHRkWnZsiXz7t27Kvfz8uVLxsTEhAHAtG/fnikoKKj1a1GEkpIS5s2bN8puRoOTmZlJ10eGYaytrRlTU1PGwMCAcXNzY9atW8eIxWLu8e+++45p06aN1HPS0tIYAIyvr2+l+5W1P5Kfn8+EhIQw+fn58n1hRO5u3LjBAGDS09Nlfg79fpWj7PWMYRgmPDycuXv3LnPlyhXm9OnTzPHjx5nIyEiZ9ycWi5mkpCTm1atXTGpqKnd/UVERExcXx5SUlNS6rRkZGUxycnKVj9+4cUOm/fzyyy+Mvb291GeOUChkQkJCuO1iY2OZhISEWrdXXsRiMbN9+3bmjz/+YDIyMhRyjPz8fCY6OrpG1zmJRMKsX7+eefHihULaVJ1Xr14xAoGAAcAEBAQopQ31ifoi9YvO9/8kJSUxhw4dahLX58WLFzMAmIEDByq7KYQoxIgRIxgAzIwZM6rcLjs7m+v/5OTk1EvbFi1axABgFi5cWC/Hqy8XLlxgADBt27ZV+LHmzZvHAGAWLVqk8GNVpCbXxhqvNFm1alW5XODv39h8tV999RU8PT3Rpk0bfP7559i5cyd2796N1NTUKo9RUTHPymbcLFmyBJmZmdwtNja2pi+JEEIalbFjx6Jjx45ITU3FoEGDZM6TfubMGURFRcHW1ha7d++W+lwtLCxEXl4eXr16hT59+lRatDY8PBy9evVCYmIi3NzcuPzKDUV2djZGjhyJLl26KDwFCGmc5s2bh6NHj+LGjRuYPXs2fvnlF8ycOZN7PCEhodySZH19faipqZUryloW9UcIUZ73vyc4ODiga9eu6N+/P0aMGIExY8bAxsam0ufn5OQgMjISERERiIiIwKtXr5CYmAixWMzlsAYAFRUVmJub1zrVSWZmJgYMGIC+ffty34euXbuGb775hlvRoqurCy8vr2r3pauri3nz5iEsLAxXrlzB0aNHERISgpycHDg5OXHbWVhYKDTNgqzU1NQwYcIETJkyhUt1IW9xcXHYu3cvDh06JPNzeDwelixZAmdnZ4W0qTqrV6/m0kKydRcIIfLXrFkzTJgwQao2VGP1+eefAwCuXLmC6OhoJbeGEPmbO3cugNJ6XxkZGZVul5mZCSMjI2hpadW57qusmupKEzY9V0REhMJTnpddadLQ1TjR3+zZs6vNf1/ZlxI2P+vr168rXHbDFptJSEiQWp6alJRUaWdfKBQ2qAE7QghRNE1NTVy4cIErnvXRRx/hxo0b1XYUpk6dCm1tbdja2kJPT0/qMWtra9y4cQOenp4IDQ1F3759cePGDanOQEREBHr37o34+Hi4uLjgv//+a3BLKAUCAWJiYpCcnIwRI0bgzp07lLLrA7Bq1WcplYAAAQAASURBVCqsXr26ym0CAwPh7u6Or776iruvTZs20NfXx+jRo7l0okD5AVig6gkcAPVHCGns2HRvLE1NTejq6sp1gD8pKQlRUVFITExEv379MHHiRHzzzTcoKSlBu3btyqUOk4VAIJBKbdyQvV+LISMjo1x/pC7YgRV57lORoqOjubqda9asUXJrCCGNhYODA3r37g1fX1/s2bOnXB/4n3/+wd27dzFixAh4eHgoqZWE1J6npydcXV3x7Nkz7Nmzp9LUos2bN0dycjIkEolC27N3716Eh4dj0qRJTTZowo7jZ2VlcRNtFaUxBU1qPE3KyMgIjo6OVd4qi94HBQUBgFRApCxbW1uYmpri2rVr3H2FhYW4efMmunbtWtOmEkJIk2VsbIxLly7B0NAQgYGBGD9+PIqLi6t93pgxY+Du7l7hY3Z2dvD19YWZmRmeP38uNRM2KioKvXr1wtu3b+Hs7Izr1683yI6ChoYGzpw5AyMjIzx+/BjTp0+n4vAfgNmzZyM0NLTKm4uLS4XPLTuhAyidwPH+ipL09HQUFRU1iNnapP54eXmBYZhGMwBLak9DQwMaGhoQiUQwMTFBq1atYGtrCwMDAwgEArkdp0WLFvD19YWxsTGCgoKwcOFClJSUYNKkSRg5cqTcjtPQMQwDPz8/bNu2DVFRUXLbLxs0qU2g68mTJ/jkk0+wcOFCubWnOtbW1rh9+zbWrFnD1VsghBBZsPWY9uzZg5KSEqnHjh8/jh9//BFXrlxRRtMIqTMej8etNvntt9/KvcffV9sVwLLavXs3NmzYgBcvXkBPTw/m5uZN7nuhuro6pkyZgl69esHS0lKhxyobNFm9ejVat26NnTt3KvSYtaWwd5a/vz9+/vlnBAcHIzIyEsePH8cXX3yBYcOGwcrKitvO0dERZ86cAVD6hzF//nysX78eZ86cwfPnz+Ht7Q0NDQ18+umnimoqIYQ0Si1btsS5c+cgEolw4cIFzJkzp1yAIC0tDZMmTUJ8fLxM+2zRogVu3LgBExMTPHnyBP369UN6ejouXbqEmJgYtGrVCtevX4exsbEiXpJcWFtb48SJExAIBDh06BDGjRuHly9fKrtZRIHkOaHDw8MDz58/l/qbYdPQdejQQfEvhhBS7/h8Puzs7ODg4IBmzZpBVVVVYcdydnaGr68vV7D0+++/x/79+z+4lWppaWmQSCQ4ceKEVAq0umD3U5tAZ1JSEo4ePYrdu3cjPz9fLu2RRbdu3fDdd9/V2/EIIU3DiBEjMHny5HIplxmGwa1btwAAPXv2VFbzCKmzTz/9FAYGBoiMjMTly5eV2hZ2MkZmZiYOHjyIuLg4DB06VKltUoQ9e/bA19cXKio1TkpVI3Z2dpg/fz5WrVqFly9fIiQkpNyK74ZCYUEToVCIY8eOwcvLC87OzlixYgV8fHzw999/S20XFhYm1VH+5ptvMH/+fMycORPu7u6Ii4vD1atXoa2traimEkJIo9W1a1ccPnwYAoEALVu2LNdpnjJlCg4dOoTRo0fLvOKiVatW3IBOZmYmcnJyMGPGDPz555/w9fXlUik2ZF5eXti2bRsA4MSJE2jdujUOHz6s5FYRZZNlQkf//v3h7OyMSZMmISgoCNevX8eiRYvg4+NTLrUMIYTURuvWrREaGoqQkBAsXbq0ytR/TRGPx8PQoUNhamqKvLw8HDt2rNpZpLJgv1PWZqVJnz59YGNjg8zMTJw8ebLObalOVTnaCSGkOkKhEPv27UP//v2lZtlHR0fj7du3UFFR4VZTE9IYaWhoYNOmTTh9+jQGDBhQ4Tb79+9H79698fvvvyu0LWWDJqTuNDU18fPPP2Pu3LncREVzc3Mlt6piCguatG/fHgEBAcjIyEB+fj5evnyJVatWQUNDQ2o7hmHg7e3N/czj8bBq1SrEx8ejoKAAN2/erDSlBiGEEGDkyJF49eqVVK0GAPj5559x7tw5qKmpYdu2bTUalGFnwvr5+XHLMz///PMGezGryIwZM/D48WN8/PHHEIlE6Nu3L/eYPAZnSOMjy4QOgUCAixcvQiQSoVu3bhg7diyGDx+OzZs3K7HlhJCmxtDQUKpg+4dGVVUV48aNg7q6OuLj4/H06dM677MuNU34fD6mTZsGAPjrr7/q3JaqPHz4EM2bN8e3335LKUQJIXJ1+/ZtAECHDh3Kjb0R0thMmzYNI0aMqHTlw/Pnz3Hjxg1EREQotB0UNFGcuLg4AKX1aRoixa65IYQQUi/s7Oy4/2dmZuLIkSNYvHgxAOCXX36pVa7sphCwbteuHc6ePYuEhASpvKNDhw6FsbExli9fDgcHByW2kNQndkJHdaysrHDhwoV6aBEhhHy49PT00L17d1y7dg23b9+Gm5tbrfOSl5SUIDs7m9tvbXh7e2PlypW4desWXr16hZYtW9ZqP9VZsWIF8vLy8O7duw9ulREhRL4iIiKwc+dOWFtbY9asWVzQpEePHkpuGSHyxTBMuWtmcnIyAHApTxWF7VeEh4fDyckJxsbG8PPzo2t4HaSnp+PVq1dcXdGGOjlXsdVyCCGE1KuEhAR0794dM2fORHFxMcaNG4cvv/xS2c1SurIpxV68eIFLly5h//79cHR0xJQpU+RaiJYQQgghsnF3d4eGhgbS09PrtNqEYRgMGjQI3bp1g6amZq32YWFhgUGDBgEoLfqqCP7+/rh06RIEAgFWrFihkGMQQj4cd+7cwY8//ogtW7ZAIpFw9UwoaEKaisLCQqxbtw6tWrUql9qyvoIm7EqT8PBwrgYHBUzq5ocffpBKIdhQV5pQ0IQQQpoQPT096OvrAwAcHBywa9cuuqC/p3Xr1njw4AEGDx6MkpIS7Nu3Dx06dEB0dLSym0YIIYR8UNTU1NC1a9daBzpYKioq6NixI/r27Vunfs/nn38OANi3bx+Kiorq1KaKsEXfvb29aaUrIaTORo8eDV1dXURGRuKff/7hBpW7d++u3IYRIieqqqo4fvw4wsPDsWfPHqnH6jto8ubNGwCAkZGRQo/3IbC1teX+r6+vD3V1dSW2pnIUNCGEkCZEJBLh/Pnz2LZtG3x9falwdSU6duyIixcvIiAgAG3atEFaWho++eQThQyQEELK27dvX61T6BBCmpZOnTph3rx5aNu2ba2eL886ZUOGDEHPnj3x9ddfy71PcPPmTVy/fh2qqqpc8IQQQupCQ0MDEydOBAAcOXIE8fHxiIiIgIGBgZJbRoh88Hg8zJ07FwDw22+/SV3z6ytoMmLECAQGBnLXbgqa1J2NjQ33/4acFp6CJoQQ0sTo6upi9uzZXAF3UrnOnTvj7Nmz0NXVhb+/P1atWqXsJhHSYO3YsQNt2rSBjo4OdHR04OHhgUuXLim7WYSQRk5VVRWqqqq1eq5YLMZvv/0GX19fuQQ5VFVVcfPmTSxatAgaGhoICAjAhAkT8MMPP+DSpUuIi4urVfF2hmG4wZbPP/8c1tbWdW4rIYQAgI+PDwDgn3/+QXJystQMbkKagk8//RQGBgaIjIzExYsXufvrK2hiamoKd3d3iESiejneh4D9nNLQ0MDNmzeV3JrKUdCEEELIB83W1ha7d++Gi4sLJkyYoOzmENJgWVhYYOPGjXj48CEePnyI3r174+OPP8aLFy8qfU5hYWE9tpAQ0pgxDIOQkBCEh4fL/Jw7d+4gIyMDL168qHUR+arcvXsXR44cwbfffovBgwfDwsICRkZG6NWrF+bNm4fAwECZ9vP69Ws8ePAAQqEQy5Ytk3s7CSEfLjc3N3Tq1AlFRUXYv3+/sptDiNxpaGhwwcGtW7cCKJ00oaGhAT6fX29BjJSUFAC00kQerK2twePxkJeXxwW/GiIKmhBCCPngjRo1Co8fP4azs7Oym0I+YBKJpMqbvLetqaFDh2Lw4MFo2bIlWrZsie+//x5aWloICAjgtrGxscG6devg7e0NXV1d7gvOvn37YGVlBQ0NDYwYMQKpqanVHu/t27cYP348DAwMoKmpCXd3d9y/f597fMeOHbC3t4eamhpatWqFgwcPSj2fx+Phjz/+wEcffQQNDQ04OTnB398fr1+/hpeXFzQ1NeHh4cHlJwaAVatWoW3btvjjjz9gaWkJDQ0NjBkzplzhSUKI/D18+BAnTpzAlStXZPqMysjIgL+/PwCgX79+EAgEcm9T7969sX79eowfPx7Ozs4QCARIS0uDn58ftm7dKrW6JS0trdLVLi1atMCbN29w6NChBlvslBDSeE2ZMgUA8M0330AsFiu5NYTI34wZM8Dn83H9+nW8ePECQqEQSUlJKCwsVHhK8vT0dGzatAkrVqwAQEETeRAKhTA3NwcAREZGKrk1lVNRdgMIIYSQhqBsapDHjx/Dzc1NIQMwsjh+/Djs7Ozg7u6ulOMT5QgJCan0MS0tLancr6GhoZWmiNHQ0ICdnR33c1hYWIU5/+uSP7akpAQnTpxAbm4uPDw8pB778ccf8d1332H58uUAgPv372Pq1KlYv349Ro4cicuXL2PlypVV7j8nJweenp5o3rw5zp07B1NTUzx+/JgbSD1z5gzmzZuHX375BX379sWFCxcwZcoUWFhYoFevXtx+1q5di59++gk//fQTFi9ejE8//RR2dnZYsmQJrKysMHXqVMyePVsqzdjr169x/PhxnD9/HllZWZg2bRpmzZqFw4cP1/p8EUKq16ZNG/j6+iI1NRUvXryAq6trldtfv34dJSUlsLGxQatWrRTSpnbt2qFdu3bczwUFBQgNDcXTp0/x5s0bqc+/ZcuW4cSJExg/fjwmTpyIzp07SxWlb968OUaPHq2QdhJCPmwTJ07EX3/9BWtrawiFQmU3hxC5s7a2xvDhw3H69Gn89ttv2LFjBwDUy/f17OxsLF68GABgbm4OMzMzhR/zQxAXFwcAOH/+PDp37qzk1lSMgiaEEEJIGT///DO+/vprLF++XCk1TtLS0vD555+DYRgEBgbC0dGx3ttASGWePXsGDw8PFBQUQEtLC2fOnCm3Qqt3795YtGgR9/OKFSswYMAAfPvttwCAli1b4t69e7h8+XKlxzly5AiSk5MRGBjIFTN1cHDgHt+8eTO8vb0xc+ZMAMCCBQsQEBCAzZs3SwVNpkyZgrFjxwIAFi9eDA8PD3z33XcYMGAAAGDevHnc7ExWQUEB9u/fDwsLCwDAtm3bMGTIEGzZsgWmpqY1O2GEEJkJhUJ4eHjgxo0buHXrFlq3bl1pyq23b9/i+fPnAID+/ftLBScUSSQSlQukAKWpxW7duoXU1FT8/vvv+P333+Hg4IAJEybA1dUVo0aNqpf2EUI+TFpaWnj48KGym0GIQs2fPx96enr44osv6vW4urq63P/fvHnD1TYhdXPy5Els374dM2bMUHZTKkVBE0IIIaQMExMTlJSUYM2aNejZsyd69+5dr8c3MDDAv//+iyNHjqBly5b1emyiXDVJD+fk5CTztvKcgd2qVSsEBwcjIyMDp06dwuTJk3Hz5k2ptr+/Qio0NBQjRoyQus/Dw6PKoElwcDDatWvHBUzeFxoaiunTp0vd161bN/z6669S97Vp04b7v4mJCQBIzV43MTFBQUEBsrKyuKX9VlZWXMCEbatEIkFYWBgFTQhRsE6dOsHf3x8pKSkICQmpcEUcwzC4cuUKAKBt27YNYsYnj8fDkydPcP36dRw6dAinT5/G69evsXr1agDAJ598giNHjii5lYQQQkjj1aNHD/To0QMAcOHCBfz000/o06ePwmuFaWtrg8fjgWEYZGZmUtBETkaNGtXgJ5VQTRNCCCGkjE8//RTTpk0DwzCYMGECkpKSqtw+JycHa9euxcSJE+t03LKplrp3747t27crpKgtabj4fH6VN3lvWxtqampwcHCAu7s7NmzYADc3t3KBCk1NTamfK0sjVhV1dfVqt3l/ZjnDMOXuK5t2j32sovuqqp/AblNfM9kJ+ZCJRCJ06dIFAHDr1q0KPz+Sk5ORkJAAVVXVep/YUBUVFRUMGDAABw8eRGJiIg4ePIgBAwZATU0NnTp1UnbzCCGEkCbj1atXuHHjBl68eKHwY/H5fGhrawMAMjMzFX480nDQaAwhhBDynq1bt8LZ2RkJCQmYNGlShQOqYrEYW7duhZ2dHVasWIHDhw8jMDAQAPDu3TvMnTsX+fn5Mh0vMjIS7u7uePLkiVxfByGKxjBMtQVHnZ2dpYrFAyj38/vatGmD4OBgpKWlVfi4k5MT7ty5I3XfvXv3arQCpzIxMTF49+4d97O/vz/4fD6t/CKknnTu3BlCoRDJyckV1noyNjbG7NmzMXLkSG4Qo6HR0tLCxIkTcfnyZYjFYsyfP1/ZTSKEEEKahKdPn2LhwoUAgGbNmtXLMdkUXa6urtVOqiRNBwVNCCGEkPdoaGjg+PHjUFdXx9WrV7Fp0ybusZKSEuzfvx+tWrXCvHnzkJycDAcHB/z999/o0KEDGIbB2LFjsW3bNvTs2ZMrcFaZxMRE9OvXD48fP8acOXNqNSufkPqwdOlS3L59G1FRUXj27BmWLVsGPz8/TJgwocrnzZ07F5cvX8amTZvw6tUr/Pbbb1Wm5gJKU9mYmppi+PDhuHv3LiIiInDq1Cn4+/sDAL7++mvs27cPO3fuRHh4OH766SecPn1aqpZKbYlEIkyePBlPnjzB7du3MXfuXIwdO5ZScxFST0QiETp37gwzM7NyK9dYurq6VPOLNFrDhg2DlZUVRCIRzMzMMGnSJKlgPVAawB86dCg0NTVhZGSEuXPnorCwUEktJoSQhqNsuktjY+N6OaaamhoAoLCwUKYV8aRpoKAJIYQQUoHWrVvjt99+AwAsX74cISEheP36Ndq0aQNvb29ER0fD3Nwcf/zxB0JCQjB+/Hjw+XzweDysW7cOhoaGePjwITp27Ij79+9XeIzMzEwMGDAAb968ga2tLY4ePUopgEiDlZiYiEmTJqFVq1bo06cP7t+/j8uXL6Nfv35VPq9Lly7466+/sG3bNrRt2xZXr17F8uXLq3yOmpoarl69CmNjYwwePBiurq7YuHEjBAIBAGD48OH49ddf8eOPP6J169b4448/sHfvXnh5edX5dTo4OGDkyJEYPHgw+vfvDxcXF2zfvr3O+yWEyK5nz57w8fGBjY0Nd19OTg5iYmKU1yhC5KRXr144fvw4wsLCcOrUKbx58wajR4/mHi8pKcGQIUOQm5uLO3fu4OjRozh16hQ3s5oQQj5kZQuH19eEw6KiIu7/Wlpa9XJMonw8polNac3KyoKuri4yMzO5gp6EEEJIbTAMAx8fH7Rv3x4zZsxAYWEhWrZsiezsbCxZsgSzZ8+udKZJREQEPv74Yzx//hxCoRB//fWXVN2T/Px8DBw4ELdu3YKJiQnu3LkDBwcHhb0Wuj7Wr8rOd0FBASIjI2Fra0tFBBugVatW4ezZswgODq7V8+n3S4jinD9/Ho8fP0bPnj3Rq1cvZTeH1AL1RSp27tw5DB8+HGKxGKqqqrh06RI++ugjxMbGwtzcHABw9OhReHt7IykpSeZzR+ebENJU+fj4YPfu3Xjy5AlcXV0Vfrw9e/Zg2rRp0NDQQG5ursKPRxSnJtdGlXpqEyGEENLo8Hg8/PXXX9zPQqEQp0+fhr29PfT09Kp8rp2dHe7du4eJEyfi3LlzmDRpEp4+fYoNGzaAYRiMHz8et27dgo6ODi5fvqzQgAkhhBDSGInFYty/fx98Ph9BQUEAAHt7eyW3ihD5SUtLw+HDh9G1a1eoqqoCKK2l5eLiwgVMAGDAgAEQi8V49OhRpUFDsVgsVWcsKytLsY0nhBAl2blzJzZv3szVGlE0CwsLAKDv7B8YSs9FCCGE1ECHDh2qDZiwtLW1cebMGSxbtgwA8O+//yI/Px8//PADzp07B5FIhPPnz6Nt27aKazAhhBDSSPn7++PGjRu4fv06GIaBs7MzrKyslN0sQups8eLF0NTUhKGhIWJiYvDPP/9wjyUkJMDExERqe319faipqSEhIaHSfW7YsAG6urrczdLSUmHtJ4QQZRIIBPUWMAGAlJQUAICRkVG9HZMoHwVNCCGEEAXi8/lYt24djh07hnPnzkFLSwtz587FwIEDcezYMfTs2VPZTSSE/L9Vq1bVOjUXIUT+OnXqxBVfFQgE6Nu3r5JbREjFVq1aBR6PV+Xt4cOH3PZff/01goKCcPXqVQgEAnz22WdSufkrqnHHMEyVte+WLFmCzMxM7hYbGyvfF0kIIR+oixcvAgAePHig5JaQ+kTpuQghhJB6MHbsWO7/2tra+Pfff6noOyGEEFIFDQ0NeHh44ObNm+jatSv09fWV3SRCKjR79myMHz++ym1sbGy4/xsZGcHIyAgtW7aEk5MTLC0tERAQAA8PD5iamuL+/ftSz01PT0dRUVG5FShlCYVCCIXCOr0OQggh5XXu3BlHjhyBt7e3sptC6hEFTQghhBAloIDJh63sbFLSdNDvlRD58/T0hJOTE4yNjZXdFEIqxQZBaoO9drD1SDw8PPD9998jPj4eZmZmAICrV69CKBSiQ4cO8mkwIYQQmc2ZMwf9+vVDy5Ytld0UUo8oaEIIIYQQUk/YIq95eXlQV1dXcmuIvOXl5QH43++ZEFJ3PB6vytn1hDQmDx48wIMHD9C9e3fo6+sjIiICK1asgL29PTw8PAAA/fv3h7OzMyZNmoQff/wRaWlpWLRoEXx8fKCjo6PkV0AIIR8eHo8HJycnZTeD1DOFBU38/PzQq1evCh978OABOnbsWOFj3t7e2L9/v9R9nTt3RkBAgNzbSAghhBBSnwQCAfT09JCUlASgNPUMrTpq/BiGQV5eHpKSkqCnpweBQKDsJhFCCGmA1NXVcfr0aaxcuRK5ubkwMzPDwIEDcfToUS61lkAgwMWLFzFz5kx069YN6urq+PTTT7F582Ylt54QQgj5cCgsaNK1a1fEx8dL3ffdd9/hv//+g7u7e5XPHThwIPbu3cv9zBb/I4QQQgipLVkndFQUxNixYwe+/PJLubTD1NQUALjACWk69PT0uN8vIYQQ8j5XV1f4+vpWu52VlRUuXLhQDy0ihBBCSEUUFjRRU1OT+tJYVFSEc+fOYfbs2dXOqBQKhfSFkxBCCCFyVZMJHXv37sXAgQO5n3V1deXWDh6PBzMzMxgbG6OoqEhu+yXKpaqqSitMCCGEEEIIIaQJqLeaJufOnUNKSgq8vb2r3dbPzw/GxsbQ09ODp6cnvv/++0oL/4nFYq5gGgBkZWXJq8mEEEIIaUJqMqGjPlYMCAQCGmQnhBBCCCGEEEIaGH59HWj37t0YMGAALC0tq9xu0KBBOHz4MHx9fbFlyxYEBgaid+/eUoGRsjZs2ABdXV3uVt3+CSGEEEKAqid0zJ49G0ZGRujYsSN27twJiURS5b7EYjGysrKkboQQQgghhBBCCGl8ahw0WbVqFXg8XpW3hw8fSj3n7du3uHLlCqZNm1bt/seNG4chQ4bAxcUFQ4cOxaVLl/Dq1StcvHixwu2XLFmCzMxM7hYbG1vTl0QIIYSQD1BlEzrWrl2LEydO4L///sP48eOxcOFCrF+/vsp90SQOQgghhBBCCCGkaahxeq7Zs2dj/PjxVW5jY2Mj9fPevXthaGiIYcOG1fRwMDMzg7W1NcLDwyt8XCgUQigU1ni/hBBCCGkaVq1ahdWrV1e5TWBgoFTdEnZCx/Hjx8ttu3z5cu7/bdu2BQCsWbNG6v73LVmyBAsWLOB+zsrKosAJIYQQQgghhBDSCNU4aGJkZAQjIyOZt2cYBnv37sVnn30GVVXVmh4OqampiI2NhZmZmczHA6i2CSGEEFIWe11kr5NNiaIndHTp0gVZWVlITEyEiYlJhdu8P4mD+iOEEEKItKbcF2mIqC9CCCGESKtJX0ThheB9fX0RGRlZaWouR0dHbNiwASNGjEBOTg5WrVqFUaNGwczMDFFRUVi6dCmMjIwwYsQImY6XnZ0NADS7kxBCCKlAdnY2dHV1ld0MuVL0hI6goCCIRCLo6enJfAzqjxBCCCEVa4p9kYaI+iKEEEJIxWTpiyg8aLJ792507doVTk5OFT4eFhaGzMxMAIBAIMCzZ89w4MABZGRkwMzMDL169cKxY8egra0t0/HMzc0RGxsLbW1t8Hg8ubwGNsVGbGwsdHR05LJPUj0678pD51456Lwrx4dy3hmGQXZ2NszNzZXdFKWrakLH+fPnkZCQAA8PD6irq+PGjRtYtmwZpk+fXqN0oPLuj3wo79OGhs678tC5Vw4678rxoZx36ovUL+qLNB107pWDzrty0HlXjg/lvNekL6LwoMmRI0eqfLzschh1dXVcuXKlTsfj8/mwsLCo0z4qo6Oj06TfOA0VnXfloXOvHHTeleNDOO80q7NUVRM6VFVVsX37dixYsAASiQR2dnZYs2YNZs2aVaNjKKo/8iG8TxsiOu/KQ+deOei8K8eHcN6pL1J/qC/S9NC5Vw4678pB5105PoTzLmtfROFBE0IIIYSQhqSqCR0DBw7EwIED67E1hBBCCCGEEEIIaUj4ym4AIYQQQgghhBBCCCGEEEJIQ0BBExkIhUKsXLmyRrnMSd3ReVceOvfKQeddOei8k8aA3qfKQeddeejcKwedd+Wg804aA3qfKg+de+Wg864cdN6Vg857eTymbFERQgghhBBCCCGEEEIIIYSQDxStNCGEEEIIIYQQQgghhBBCCAEFTQghhBBCCCGEEEIIIYQQQgBQ0IQQQgghhBBCCCGEEEIIIQQABU0IIYQQQgghhBBCCCGEEEIAUNBEJtu3b4etrS1EIhE6dOiA27dvK7tJTcqtW7cwdOhQmJubg8fj4ezZs1KPMwyDVatWwdzcHOrq6vDy8sKLFy+U09gmZMOGDejYsSO0tbVhbGyM4cOHIywsTGobOvfyt2PHDrRp0wY6OjrQ0dGBh4cHLl26xD1O57x+bNiwATweD/Pnz+fuo3NPGjLqiygW9UWUg/oiykF9kYaB+iKksaG+iGJRX0Q5qC+iHNQXaRioL1I1CppU49ixY5g/fz6WLVuGoKAg9OjRA4MGDUJMTIyym9Zk5Obmws3NDb/99luFj2/atAk//fQTfvvtNwQGBsLU1BT9+vVDdnZ2Pbe0abl58yZmzZqFgIAAXLt2DcXFxejfvz9yc3O5bejcy5+FhQU2btyIhw8f4uHDh+jduzc+/vhj7iJE51zxAgMDsWvXLrRp00bqfjr3pKGivojiUV9EOagvohzUF1E+6ouQxob6IopHfRHloL6IclBfRPmoLyIDhlSpU6dOzJdffil1n6OjI/Ptt98qqUVNGwDmzJkz3M8SiYQxNTVlNm7cyN1XUFDA6OrqMjt37lRCC5uupKQkBgBz8+ZNhmHo3NcnfX195q+//qJzXg+ys7OZFi1aMNeuXWM8PT2ZefPmMQxD73fSsFFfpH5RX0R5qC+iPNQXqT/UFyGNEfVF6hf1RZSH+iLKQ32R+kN9EdnQSpMqFBYW4tGjR+jfv7/U/f3798e9e/eU1KoPS2RkJBISEqR+B0KhEJ6envQ7kLPMzEwAgIGBAQA69/WhpKQER48eRW5uLjw8POic14NZs2ZhyJAh6Nu3r9T9dO5JQ0V9EeWjz4f6Q32R+kd9kfpHfRHS2FBfRPno86H+UF+k/lFfpP5RX0Q2KspuQEOWkpKCkpISmJiYSN1vYmKChIQEJbXqw8Ke54p+B9HR0cpoUpPEMAwWLFiA7t27w8XFBQCde0V69uwZPDw8UFBQAC0tLZw5cwbOzs7cRYjOuWIcPXoUjx8/RmBgYLnH6P1OGirqiygffT7UD+qL1C/qiygH9UVIY0R9EeWjz4f6QX2R+kV9EeWgvojsKGgiAx6PJ/UzwzDl7iOKRb8DxZo9ezaePn2KO3fulHuMzr38tWrVCsHBwcjIyMCpU6cwefJk3Lx5k3uczrn8xcbGYt68ebh69SpEIlGl29G5Jw0VvTeVj34HikV9kfpFfZH6R30R0tjRe1P56HegWNQXqV/UF6l/1BepGUrPVQUjIyMIBIJysyeSkpLKRd2IYpiamgIA/Q4UaM6cOTh37hxu3LgBCwsL7n4694qjpqYGBwcHuLu7Y8OGDXBzc8Ovv/5K51yBHj16hKSkJHTo0AEqKipQUVHBzZs3sXXrVqioqHDnl849aWioL6J89NmseNQXqX/UF6l/1BchjRX1RZSPPpsVj/oi9Y/6IvWP+iI1Q0GTKqipqaFDhw64du2a1P3Xrl1D165dldSqD4utrS1MTU2lfgeFhYW4efMm/Q7qiGEYzJ49G6dPn4avry9sbW2lHqdzX38YhoFYLKZzrkB9+vTBs2fPEBwczN3c3d0xYcIEBAcHw87Ojs49aZCoL6J89NmsONQXaTioL6J41BchjRX1RZSPPpsVh/oiDQf1RRSP+iI1Q+m5qrFgwQJMmjQJ7u7u8PDwwK5duxATE4Mvv/xS2U1rMnJycvD69Wvu58jISAQHB8PAwABWVlaYP38+1q9fjxYtWqBFixZYv349NDQ08Omnnyqx1Y3frFmzcOTIEfzzzz/Q1tbmIsm6urpQV1cHj8ejc68AS5cuxaBBg2BpaYns7GwcPXoUfn5+uHz5Mp1zBdLW1uby0rI0NTVhaGjI3U/nnjRU1BdRPOqLKAf1RZSD+iLKQX0R0phRX0TxqC+iHNQXUQ7qiygH9UVqiCHV+v333xlra2tGTU2Nad++PXPz5k1lN6lJuXHjBgOg3G3y5MkMwzCMRCJhVq5cyZiamjJCoZDp2bMn8+zZM+U2ugmo6JwDYPbu3cttQ+de/qZOncp9njRr1ozp06cPc/XqVe5xOuf1x9PTk5k3bx73M5170pBRX0SxqC+iHNQXUQ7qizQc1BchjQn1RRSL+iLKQX0R5aC+SMNBfZHK8RiGYRQemSGEEEIIIYQQQgghhBBCCGngqKYJIYQQQgghhBBCCCGEEEIIKGhCCCGEEEIIIYQQQgghhBACgIImhBBCCCGEEEIIIYQQQgghAChoQj4w2dnZ+Oabb9C/f380a9YMPB4Pq1atqtW+8vLysGrVKvj5+cm0fVRUFHg8Hnfj8/kwNDTE4MGD4e/vX277rKwsfP/993B3d4eOjg6EQiFsbGwwdepUPH78uFZtJoQQQho6ulZX3K4hQ4bAwMAAPB4P8+fPr3Tb9evX4+zZs+Xu37dvH3g8Hh4+fCi3dilbUFAQPD09oaurCx6Ph19++UXZTSKEEKJk1I+ouF3UjyivKfUjqnqvrlq1CjweDykpKXI73pEjRxr1+SJEFhQ0IR+U1NRU7Nq1C2KxGMOHD6/TvvLy8rB69WqZO1CsOXPmwN/fH7dv38aGDRvw5MkT9OrVC0FBQdw2b968Qbt27bBx40b06tULf//9N65evYrVq1cjMTERHTp0QGZmZp3aTwghhDREdK0u76uvvsL9+/exZ88e+Pv746uvvqp028oGO5qiqVOnIj4+HkePHoW/vz/Gjx+v7CYRQghRMupHlEf9iIo1pX5Ebd+rtUVBE/IhUFF2AwipT9bW1khPT+ei7H/99Ve9t8HKygpdunQBAHTr1g0ODg7o06cPtm/fjj///BMlJSUYMWIEUlJS4O/vDxcXF+65np6emDx5Mi5dugRVVdV6bzshhBCiaHStLu/58+fo1KlTnQd/moKSkhIUFxdDKBTi+fPn8PHxwaBBg5TdLEIIIQ0E9SPKo37E/1A/ghAiK1ppQj4o7DJZWfj6+sLLywuGhoZQV1eHlZUVRo0ahby8PERFRaFZs2YAgNWrV3P79fb2rnGb2M5UdHQ0AODs2bN49uwZlixZItV5KmvQoEHQ0NCo8bEqwi6zrejm5eXFbVdQUIAlS5bA1tYWampqaN68OWbNmoWMjAyp/VV13gghhJDqfEjX6piYGEycOBHGxsYQCoVwcnLCli1bIJFIAAB+fn7g8Xh4/fo1Ll26xL2GqKioCvfH4/GQm5uL/fv3V3gtB0rTlsyYMQNGRkYwNDTEyJEj8e7du3L7OnbsGDw8PKCpqQktLS0MGDBAaoZsZfLy8rBo0SLY2tpCJBLBwMAA7u7u+Pvvv7ltvLy8yrULALy9vWFjY8P9zKY52bRpE9atWwdbW1sIhULs3bsXPB4PxcXF2LFjh9R7Jjk5GTNnzoSzszO0tLRgbGyM3r174/bt2+WOJxaLsWbNGjg5OUEkEsHQ0BC9evXCvXv3uG0YhsH27dvRtm1bqKurQ19fH6NHj0ZERES156KmduzYATc3N2hpaUFbWxuOjo5YunSp1DbPnz/Hxx9/DH19fYhEIrRt2xb79++Xe1sIIaSxon4E9SNYH0o/Qtb3amJiIj755BPo6urCxMQEU6dOLbeaSZb2enl54eLFi4iOjpYaP2KtXr0anTt3hoGBAXR0dNC+fXvs3r0bDMNIHUsikWDTpk1wdHSEUCiEsbExPvvsM7x9+1Zu54aQuqCVJoRUgM352aNHD+zZswd6enqIi4vD5cuXUVhYCDMzM1y+fBkDBw7EtGnT8PnnnwMAd6GqidevX0s99+rVqwBQb7NAhgwZUi6/qr+/PxYsWIDWrVsDKL1wDh8+HNevX8eSJUvQo0cPPH36FCtXroS/vz/8/f0hFAqrPW/yCvQQQgghjf1anZycjK5du6KwsBBr166FjY0NLly4gEWLFuHNmzfYvn072rdvD39/f4wYMQL29vbYvHkzAMDMzKzCffr7+6N3797o1asXvvvuOwCAjo6O1Daff/45hgwZgiNHjiA2NhZff/01Jk6cCF9fX26b9evXY/ny5ZgyZQqWL1+OwsJC/Pjjj+jRowcePHgAZ2fnSl/XggULcPDgQaxbtw7t2rVDbm4unj9/jtTU1Fqfq61bt6Jly5bYvHkzdHR0oKenB39/f3h4eGD06NFYuHAht21aWhoAYOXKlTA1NUVOTg7OnDkDLy8vXL9+nRtkKS4uxqBBg3D79m3Mnz8fvXv3RnFxMQICAhATE4OuXbsCAL744gvs27cPc+fOxQ8//IC0tDSsWbMGXbt2xZMnT2BiYlLr11XW0aNHMXPmTMyZMwebN28Gn8/H69evERISwm0TFhaGrl27wtjYGFu3boWhoSEOHToEb29vJCYm4ptvvpFLWwgh5ENA/YjyqB/ROPsRsr5XR40ahXHjxmHatGlc0A4A9uzZw20jS3u3b9+O6dOn482bNzhz5ky59kRFReGLL76AlZUVACAgIABz5sxBXFwcVqxYwW03Y8YM7Nq1C7Nnz8ZHH32EqKgofPfdd/Dz88Pjx49hZGRU53NDSJ0whHygkpOTGQDMypUryz128uRJBgATHBxcq+dXJDIykgHA/PDDD0xRURFTUFDAPHr0iOnYsSMDgLl48SLDMAwzcOBABgBTUFBQm5dVZy9fvmQMDQ2ZXr16MWKxmGEYhrl8+TIDgNm0aZPUtseOHWMAMLt27WIYRrbzRgghhMiqKV+rv/32WwYAc//+fan7Z8yYwfB4PCYsLIy7z9ramhkyZIhM+9XU1GQmT55c7v69e/cyAJiZM2dK3b9p0yYGABMfH88wDMPExMQwKioqzJw5c6S2y87OZkxNTZmxY8dWeXwXFxdm+PDhVW7j6enJeHp6lrt/8uTJjLW1Nfcz+/uwt7dnCgsLy20PgJk1a1aVxyouLmaKioqYPn36MCNGjODuP3DgAAOA+fPPPyt9rr+/PwOA2bJli9T9sbGxjLq6OvPNN99UeeyamD17NqOnp1flNuPHj2eEQiETExMjdf+gQYMYDQ0NJiMjQ27tIYSQpoD6EaWoH9H0+xFVvVdXrlxZ4XjOzJkzGZFIxEgkkhq3d8iQIVLnujIlJSVMUVERs2bNGsbQ0JA7VmhoaIXvp/v37zMAmKVLl8rysglRKErPRUgF2rZtCzU1NUyfPh379++X69LJxYsXQ1VVFSKRCB06dEBMTAz++OMPDB48WG7HYPN0sjd2eW51EhISMHDgQJiZmeHMmTNQU1MDAG7WyPvLO8eMGQNNTU1cv34dgGLPGyGEEFJWY79W+/r6wtnZGZ06dZK639vbGwzDSM3YlKdhw4ZJ/dymTRsA/0sZcuXKFRQXF+Ozzz6T6kuIRCJ4enpWW2C0U6dOuHTpEr799lv4+fkhPz9fLm2uSV73nTt3on379hCJRFBRUYGqqiquX7+O0NBQbptLly5BJBJh6tSple7nwoUL4PF4mDhxotS5MDU1hZubW7XnouxziouLy6WlKKtTp07IyMjAJ598gn/++QcpKSnltvH19UWfPn1gaWkpdb+3tzfy8vLKrRwmhBBSOepH1A71I0o1tH6ELCr63RUUFCApKUku7WX5+vqib9++0NXVhUAggKqqKlasWIHU1FTuWDdu3ABQfoypU6dOcHJy4saYCFEmCpoQUgF7e3v8999/MDY2xqxZs2Bvbw97e3v8+uuvdd73vHnzEBgYiEePHuHNmzeIj4/H9OnTucfZJYyRkZF1ar+qqip3W7NmTbXPyc7OxuDBg1FUVIRLly5BV1eXeyw1NRUqKirllnfyeDyYmppyS2UVed4IIYSQshr7tTo1NbXC9Bjm5ubc44pgaGgo9bNQKAQAblAiMTERANCxY0epvoSqqiqOHTtW4WB+WVu3bsXixYtx9uxZ9OrVCwYGBhg+fDjCw8Nr3ebK0ohU5KeffsKMGTPQuXNnnDp1CgEBAQgMDMTAgQOlBl6Sk5Nhbm4OPr/yr0OJiYlgGAYmJiblzkVAQECV5yIqKqrcc27evFnp9pMmTcKePXsQHR2NUaNGwdjYGJ07d8a1a9e4bZT1niGEkKaI+hG1Q/2IUg2tHyELWX53tW0v68GDB+jfvz8A4M8//8Tdu3cRGBiIZcuWSR2LfX9W9h6mPg1pCKimCSGV6NGjB3r06IGSkhI8fPgQ27Ztw/z582FiYoLx48fXer8WFhZwd3ev9PEBAwZg165dOHv2LL799ttaHeP8+fMQi8Xcz2zHqTJFRUUYNWoU3rx5g9u3b8PCwkLqcUNDQxQXFyM5OVkqcMIwDBISEtCxY0fuPkWdN0IIIeR9jflabWhoiPj4+HL3s8VUlZXHmT3uyZMnYW1tXePna2pqYvXq1Vi9ejUSExO52aJDhw7Fy5cvAQAikahc4VEAlX4Zl7WgLwAcOnQIXl5e2LFjh9T92dnZUj83a9YMd+7cgUQiqXTAw8jICDweD7dv3+YGFsqq6D6Wubk5AgMDpe5r1apVlW2fMmUKpkyZgtzcXNy6dQsrV67ERx99hFevXsHa2rrBvmcIIaSxon6E/FE/4n/qux9RV3VpL+vo0aNQVVXFhQsXIBKJuPvPnj0rtR0bwImPjy83/vTu3Tvq05AGgVaaEFINgUCAzp074/fffwcAPH78GED5qLy8fPzxx3B1dcWGDRvw/PnzCre5cuUK8vLyKt2Hq6sr3N3duVt1QZNp06bBz88Pp0+f5pbXltWnTx8ApR2Isk6dOoXc3Fzu8bIqO2+EEEKIvDXGa3WfPn0QEhJS7vp44MAB8Hg89OrVq1ZtEwqFdXq9AwYMgIqKCt68eSPVlyh7k5WJiQm8vb3xySefICwsjDsfNjY2ePXqldQEj9TUVNy7d6/W7WbxeLxyX+qfPn1aLnXVoEGDUFBQgH379lW6r48++ggMwyAuLq7C8+Dq6lrpc9XU1Mptr62tLdNr0NTUxKBBg7Bs2TIUFhbixYsXAErfM76+vtyAGOvAgQPQ0NBAly5dZNo/IYQQadSP+B/qRzTOfoQ83qs1aW9l7xMejwcVFRUIBALuvvz8fBw8eFBqu969ewMoP8YUGBiI0NDQCseYCKlvtNKEfHAuXbqE3NxcbqZASEgITp48CQAYPHgwNDQ0sHPnTvj6+mLIkCGwsrJCQUEB9uzZAwDo27cvAEBbWxvW1tb4559/0KdPHxgYGMDIyAg2NjZ1ap9AIMCZM2fQv39/eHh4YMaMGejVqxc0NTURHR2NkydP4vz580hPT6/TcVg//vgjDh48iDlz5kBTUxMBAQHcYzo6OnB2dka/fv0wYMAALF68GFlZWejWrRuePn2KlStXol27dpg0aRIAyHTeCCGEkOp8CNfqr776CgcOHMCQIUOwZs0aWFtb4+LFi9i+fTtmzJiBli1b1qptrq6u8PPzw/nz52FmZgZtbe0azUy0sbHBmjVrsGzZMkRERGDgwIHQ19dHYmIiHjx4wM0ArUznzp3x0UcfoU2bNtDX10doaCgOHjwIDw8PaGhoAChNRfXHH39g4sSJ8PHxQWpqKjZt2gQdHZ1aveayPvroI6xduxYrV66Ep6cnwsLCsGbNGtja2qK4uJjb7pNPPsHevXvx5ZdfIiwsDL169YJEIsH9+/fh5OSE8ePHo1u3bpg+fTqmTJmChw8fomfPntDU1ER8fDzu3LkDV1dXzJgxo85tBgAfHx+oq6ujW7duMDMzQ0JCAjZs2ABdXV1uRe/KlStx4cIF9OrVCytWrICBgQEOHz6MixcvYtOmTVKpVQkh5ENG/QjqR9RWY+1HyOO9WpP2urq64vTp09ixYwc6dOgAPp8Pd3d3DBkyBD/99BM+/fRTTJ8+Hampqdi8eXO5QFSrVq0wffp0bNu2DXw+H4MGDUJUVBS+++47WFpa4quvvpLLeSGkTpRUgJ4QpbG2tmYAVHiLjIxkGIZh/P39mREjRjDW1taMUChkDA0NGU9PT+bcuXNS+/rvv/+Ydu3aMUKhkAHATJ48udLjRkZGMgCYH3/8UaZ2ZmRkMGvXrmXat2/PaGlpMaqqqoyVlRUzceJE5u7du7V9+eVMnjy50vPh6enJbZefn88sXryYsba2ZlRVVRkzMzNmxowZTHp6OreNrOeNEEIIqcqHcq2Ojo5mPv30U8bQ0JBRVVVlWrVqxfz4449MSUlJufMxZMgQmdoUHBzMdOvWjfk/9r47XpKi2v97qrpn7t2IhIXlEZYMu4QnQVhUoiCYEOMTHwL6EJ+osOTMSloW2L0YQd5DRAnyDAR/T0FUgkgGRQRJCj4MawI23Tsz3VXn90eFru6ZuWH3XjbV9/OZe2d6uquru2u6Tp/vOd8zbty40lx+zTXXMAB+5JFHSuvfddddDIDvuuuu0vJbbrmF9913X540aRLX63XedNNN+QMf+AD/5Cc/GXT/p512Gu+66678hje8gev1Om+++eY8a9Ys/sc//lFa79prr+XtttuOe3p6ePr06XzTTTfxEUccwZtuuqlfZ6jrAYCPPfbY0rJms8knnXQS/8u//Av39PTwzjvvzLfccktb28zGtjnnnHN4q6224lqtxuussw7vt99+fP/995fW+/rXv8677747jx8/nnt7e3mLLbbgj33sY/zoo48Oei5GgmuvvZb33XdfXn/99blWq/GGG27IH/rQh/jXv/51ab0nn3yS3/3ud/PkyZO5VqvxTjvtxNdcc82o9SMiIiJidUC0I6Idwbxm2RHM3cfqueeeywD473//e2l9d03db2Ik/X3llVf4Ax/4AK+11lpMRBy6l7/+9a/zNtts46/fnDlz+Oqrr27bl1KK586dy1tvvTWnacrrrrsu//u//zu//PLLo3peIiKWFcTMPCZsTERERERERERERERERERERERERERERERExCqEWNMkIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiICkTSJiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIgAEEmTiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIgIAJE0iYiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIABBJk4iIiIiIiIiIiIiIiIiIiIiIiIiIiIiICACRNImIiIiIiIiIiIiIiIiIWKVwxRVXYMcdd8SkSZMwadIkzJw5Ez/60Y86rnvMMceAiHD55ZcP2e5rr72GY489FlOnTkVPTw+22247/PCHP/Tfz5kzB7vtthsmTpyIKVOm4L3vfS+effbZ0TqsiIiIiIiIiIiVAsmK7sBoQ2uNP//5z5g4cSKIaEV3JyIiIiJiEDAzFi9ejA033BBCjD6P32g00Gq1hrVurVZDT0/PqPchYs1EtEciIiIiVg2sqrbIRhtthIsvvhhbbrklAODaa6/FIYccgl/+8peYMWOGX++WW27BQw89hA033HDINlutFg444ABMmTIF3/3ud7HRRhvh5ZdfxsSJE/0699xzD4499ljstttuyPMcZ555Jg488EA8/fTTGD9+/LD6HvH6INoiEREREasGVlVbZHUHMTOv6E6MJv74xz9i4403XtHdiIiIiIgYAV5++WVstNFGo9pmo9HAZptOwIK/qWGtv8EGG+DFF1+MBkLEqCDaIxERERGrFlYHW2TttdfGpZdeik984hMAgD/96U/Yfffdcccdd+Cd73wnjj/+eBx//PFdt7/yyitx6aWX4plnnkGapsPa59///ndMmTIF99xzD/baa69l6nfE2CDaIhERERGrFlYHW2R1wmqXaeKiYF5++WVMmjRpBfdmbLHf0V8GmEEaEDn8e3I0WIUPo0HoMSaABQFUeS/glyGMTukUqGLbJ80gBZCy/dEMoQBoBrH9XjOgi/ek2H5v/pv+tneYiYp9ExWfiUxf3XJRrMdE+H8/OAHvOmQ+WJjvWJr1WRQHcscNn+t+giI64sB//2LxwV3/YPwRA5QX1x3BJXXXl5Rdbtd32wIA6fLnYh/mDbsx6caALF5amvHBSXGt/X8JsCzGuBnf9n8FxGa/1f/+GDVAChDBePenpDRWUf7dBOci7BeoPC45CDK462ufae/gKo5FixZh4403LkUwjhZarRYW/E3hxcc2xaSJg0drLFqssdkuf0Cr1YrGQcSoYE2xR3b67mUQiYKUGr31HDWZoyfJ0JPkSIVGTSgIYgh7Q09JIRUKNaEgwciYsET14K/9E/DKwHgsWdyDvD+B6JcQOYEUACawYHvvZnNflAxOGJRoUKKR1BTSmsL4Wgvjak1MrLUwLmkhJYW6yCFIw91aJRjkJ5gCwk5CkhgC5e81BDIt0FApBnSKpkrRUAmaSiLXAooFlDb3GSk0UnvcqTDtbNi7EF/c+WvY8/YLkCsJpQhaE7QS0LkA2wnjN/92whhcpdUbO335y9aOADgFmBgs2YgQSwZqGiTNdRCSwRrQSoAEQyQaIjHfsSKwFmB36QkQUoMkI5EaaaJQlwrjak2MTzOMSzKkIkfix1h5bAliaCYwCzS1RMYCGSfItYRmQkubsdNUEo3cOKebKsFAM0WeSeQtCc4FkAkgI5AyL5EDpAjQMC8CIAHVw9DjFOSEDPXeDGlixiARg5mQK4FcmTFKBP+d0gLMMOORCdAElQsIqSHtuWn+bRySxRIA8KtZx74OV/X1xcpmi/zjH/8ozRv1eh31en3QbZVS+M53voOlS5di5syZAEyWweGHH46TTz65lHkyGG677TbMnDkTxx57LG699Vast956OOyww3DqqadCStlxm4ULFwIwhE3EyoU1xRZ507lfsf4QmHticB93y5xfwz3PcbgMZrnxWVQaF+XnxcLH0N6PwfwtI0GntoeNIbZ95JxjsceZX/H7KXwo8M+nD5+3+t3nxxq7XvCVsp8AKPkXSBXjo3R9u12vYY6l0RpzpV1361MwRvyxVv0kQLvfA9avE/4Wg/Xcd/4cBect/I06vwsAPHDx6jdGVzZbJPpFDFY70sSlnTpt19UZst5jbxxsHAHOSa1ROJ09kQFDRlRvqgRAUGA0UNmB7D4H4G6/MXvDM5uxfRkHN4GtjcGFs9zeWQnmwZagDZEi2Pa/2wxA3kHuiZPQySxtnwV5p/qkSZNw712zsd8BF4MFQQsCKsTJ6j5exgJJGtxEu5EmEoDitgn97h+dgn3fPtdOsJZE65T4VmnPERVVUtCTJsIQJVqWSZQScSJhvhdVYrDDQXYgTEKDyBOBIVEYEiKeOAnIxwrBycL2R3b5HVq87bP/jYevXT0damMpGdA7gdE7YXCLMlu9ki4jVgKsKfbIxpsOIFPGkZZKQOkaSCQQSYZ6kqFHAj0ywwSZoS5zTJANTJYDSCkHACzWPfhnBshxddBSDV0T6K+n0D0JuCns3AA39QOCQZY8EZYwEalGmir01DP01DTG1RTGpwoTUkKvZKQEpAKeCHHObMCQISEEtCE7iCGd8xsMSTkUC2Ss0NQ5mjpDUydoauMEz9kQKgAwIWlCEKM/r6FH5lgrHQAgMGnSJPzmQ5dgq+9cAC0IQph5TWgBsuTK6jxWxgqip6f04K5TgBMGC2tvZgRqWeeQNMuEdaq9ePRJ2O7mzwMAWq0EuikBJcCKAAaUtsQCM1rMGNCMxVDoQYY656inOcanLUxIW+iRGWoiR13kSEkjEebJXjOBdAKV181/laChEuRaINMSSgto64xmJSGlhM4SyFRA5xLcEqCMIDIyxyIsceIDS8w/qQDVYuh+xgArNFIGCW3sagCsCcxk7HPJEEKDtYDWBJkqyESDtCHzJBsDRNZyNAdSiN4UIjN9fNO8q/HM52eN/YVdAVhZbJFqZsC5556L2bNnd9zmySefxMyZM9FoNDBhwgTcfPPNmD59OgBg7ty5SJIEn/vc8APDfv/73+NnP/sZPvrRj+KHP/whnn/+eRx77LHI8xznnHNO2/rMjBNOOAFvectbsP322w97PxGvD9YUWyRJe8wzJwIndeAHIQX/3MeiIE2AMpkickBa9Rr3XGbmjgq5gPIz2lDBqeE6wyVblos4QXCMlXYmTZqEp790OnY4oa/tuDgp1okYGWS9p/AV2Pm5NGacPeteovj+6QtnYfoZfb6tTuQL0D6W2hAQDkOt07Z4OERO0Ebh8wk+D/U47Y7DjjsKlrM7Ry1LnrjmAnIzJE3eevbVeOIL0RYZKaJfZORY7UiTNQl+EnSTvzbOWCaAQChF5+sOjmYicyPSDEgyEysYZGgM66QwZEcYMd8hODPoVCW7RNlMEu0cylw405UlR6pOc/ey+yHmIqMAAOzDHzSZ99YJjQ43F2LGT392OgB4wsRHl4zkZEe04c0fuKw8n9qZzU/mIDDYO7o6nW8zVlEYDprg/FfumpMfCxQQf2zGO9D52muARDuv4sjBjkaoN0aKL4lN/71t0WXQsP0d+gPS7StW9+kyUn5+y8l4y/suM783GzFa+h1Wtt3tqPmldh65ZvUkUUYTGrotaKzTOhERESOHJI0MEkubNQjBqEkFzQQBthkmbLNNNHpFC5PlACbKAQCAYoEeMpH6NaGQSoV6mqNVS5DlhjBhRcW9XAAQJtOEJFsChSETkwWQiiKLpSaN89q9pCVDPMg4sxUKAgUwhIqEhiSN1D6ZCdKQYJMlgxyStM8iSZVGJgSa2pjUiTWSchb+9Y/WeNy4x1UAgF1+dCamrJXjr68GUWQ2yCRi5Njm/D5QrbBNWdpAhpYJnAkdGMY5YbI1dFqMhfUmLcE/l4wHERvbMiNQbp7gSQNcY3BqwiA1azBLtGyGRqYlmE2Ghk5NwAYAQOQQXB5zjqzLtSgRJpmSUNZzwkw+68iD2AdTtI0THyzlHBjWdtISOmXoVIASXXKAMJnfT5oq9NYbAIDH33EBpt8yGwoCxGQJFiDLJDgToNycS/vTxY4n9BknpHVS/nr+6um4GE2MxBapZgUMlmWyzTbb4Fe/+hVee+01fO9738MRRxyBe+65BwMDA/jCF76Axx9/fEQOGK01pkyZgquuugpSSuyyyy7485//jEsvvbQjafKZz3wGv/71r3HfffcNex8REaMN438o/CNlZQC7DhfPhiwqy4O2uLq9/wJDO5Orm1Dn953WG82MgW5tPX2huVdvf3IfuI4iW9E6rXXnZLKIITD9zL6yryAg7Pxn950bBxoI43ZCIq8NwXWC8O6QInsjHJvdiJNu75fF/qT2wxns9xEGkXb8HJBHO5zUZ8wetn4Q+1v1XaaCONnpuD4TRGLisPD416ItMhSiX2TkiKTJKgwXcb774fOhE0dW2Ac8tk5lts5ZQWaZvzNZ8iIgSArHMA9y7xwsjMLemFVBipAnTdiTJI44AdBOlFSXWZQyENg+OEKDIYzsAMjfdH9yzxl4294XlXq674Fzi3lEBpJNZI7357ecPOi5juiMtmgH+/m+751UWm+vQy4tRSTc84OTsc9Bc4N27IZJuV0AuOv207ru/217X+QnTbMh+/0wF84SU7ppCIvArtKW7TJI5ETJELHROcwICJ0O69nPbtne774UlJAlGA1xZAx+K0VDJtqAg2iUiJFBsYkSHmqdiIiIkeOu/eYBAHa47Vxo65h2juKBLPUOYkEavTLz2ykWaHCKjKWX0OqROWpSIU1z6LqAltqQ6SgmGxJsMjREQZbU0xy9aYZxNuJ/QtLExLSBSUkD40QLPSJDSoa40fZGqkDIWEKzkdbSdh+KhSdM6sL0t4cyT6AAQCYkGpyiqVNkUiLTEhlLDKgalqgaAOCa3a7Bwfceh5YqPBC7/OhM/378uCZyJZHl0ts7z33g7NG8NGsESAPJAAwJZiUuqWWu5fOnlR+etzmvD7IFyAYAEJ68bBaOeuQoAOtCCm3ICiYgExA5QTQJsmm2ffbssl0TYpcfnYlMSfRnNfQkRrZrQtrE+KSFmsghLYHooGFIFqWNpJtigrJ2g5HKstkgAnbMkyULjS1A9r3LWA0jL0UGiJbNuE0BXTPECadWzk4yIBlCavTWM0zuMSzIUY8cBaU3MwSQJUxYk5GOUwQiQKcMyglJf+BwjFPnsDESW2QkWQG1Ws0Xgt91113xyCOP4Atf+AK22247/O1vf8Mmm2xStK8UTjzxRFx++eV46aWXOrY3depUpGlakuLabrvtsGDBArRaLdRqNb/8s5/9LG677Tbce++9o66/HhExEjx5mSUDTukzQXIoP5+yRJkksYF0/v4ZZKAABfnCQDlbgDAo+eGwLFkioZN7ebNMHJ6+yGQwhM+iM07tC/wiJjszfEx+ZnZ0PI8YbmxZeSmWgI2lwW/PL5/P6WeZoAORAVBm7M44vc9sXyFdzEL46/P0Rd2vzfQzTbueSBHDJONc3xGMu6rrpFvAaWAHlKTuUPyG/Lq687Y+cNQeg0SZuKQ8CBgJf9NBxpiItsiwEf0iI0ckTVYDPPStE7D74fPtzcMRFkHEu3MGu0meUWSiOOJE24ey8PfRIVq+KwIjpK1OieZSlkk3osRs7+66lf8VWK7DZKEw4LNNYBzpoaGx79uNc15XpJoARLKkC/b8kHGCDTrJBuc8RJUwAYYxYXeJwrn79lMH7edP7jkDb9vrQh/FQS5TIxwbGoCN/OyUYRQShlzpS1eipMNyf4yBEV7NvgmPl8nq5gIQOVtnj+28legyX5rftYt49SmqiFkmw4UGQw/h2Rnq+4iIiMHx5Hs+j53+n3H6Ky28U1gqc4OekCYYUCn6pXG4KZAhHdjUd3CkhRQaidTIUwUSVDiyqSBLBBlpoTRRqNnsFCeRNE62MD5pYoJsYpxoYZz977JHAFiZLUPWeOIEBM3CSnEZ0qTINDFZJm57ybqIELT/lSWGchum+ZafnAJBNb+NI0zW6hlAj8xBxGhmCVADHjn4ojG/PqsiNr36kuDB2s7jGUE0BUTLEBpCFc4vJ90AAM+d0e5YkC2TKeGIEL+czJiTUkNJDSQCUIDIjWxmp7ZCPHbwhXjLT05BHtQmSYRGQhoCDAibfWUzlEQw3+hOmSUBiIzMGAtDpMBKjXqbngKzxRIoAoAWxblgm6EFYQgTI81lZMfGJRmm9C4GALx1k9/j7t9vCSFMRgxJNmQOAZwwNANkz4mqFUTNU3Ojg204eL1sEWZGs9nE4Ycfjre97W2l797+9rfj8MMPx1FHHdV1+ze/+c244YYboLWGEMbgfO655zB16lRPmDAzPvvZz+Lmm2/G3Xffjc0222y5+x0RMRr4zSXWAR04aKuSx2F2npMBgio+m5WCf+5ZbhgxeMuLIcmS6vddbhmunRmnlzMgnHOeE3MfDyWinj073ss7YYvL5kNkBJEVpEgpqLIabym6EybhOh2DIbnyPrjeT80Z/PqUJL5cH8MVvLNjhOgwJjv6dgK7pPTZfexAwvjfIorzIVqGdHKSeq7f1awZn0FMgKoDv/pSHL/DQfSLjByRNFlN8NC32p2ne3x0HkibG7zIzV3XZYK42gpCsZEC0lQmScKi3H5Z+SN1IjwcaeIJE13IcCluJ0uWhcW0ckxG/EODYGhmdjUtCCazxtW3cHUsEnN3vvfWSJQMF0OTHcbJP7SBRyXGYu93X1pEuHSMXBi+RfqTe4vI3QPefEFhvGjyEl2ewAAbJ4iAyc5iKibjcJKvdic0jsJlwLDHcPU8ssv+Cgife287CXsdcilYF8QLiyLzRCcwUnoKeOibkTAZLjQYKhoHERFjjifedX7bsp3+39lo5ol3Fjd1growefSZ1fZ59G+b4A29/WgpQ6AkUqOnlnlnMlnCJBUKNSfDJRV6ZI5xSYYemRVEiWwZskQYsmS8aNpMk9z3KeMELZbIOEFDp9AgtDixcl22mDsKea6UFHpEZiW+TLZKnTL0cIqlVEe/riHT0mexvNbqRSoUmAmKBVp5glRo9KYtTKoZj/19b7tkjK7CagQXLGAzp6FNUBDlKGWZesdFpcZHFaJl5lVHmrz5g/Ow5cnCXxMiRr/UaKYa+pU6giEzJMLrefC9x0Ez+Ro3vTASbylp1ESOcdYedYXYkSdwGh3sq9ALIFEAJBS7DBECq8JUCeuiueN2wR9MxmmjawzuUaCaRpJqyERB2qL2PUmORJjxnNoojv02fx5X7XottrjpQpvtQoA0WSrQgK4zVG6yWADghVOik2K4GAtb5IwzzsDBBx+MjTfeGIsXL8a3v/1t3H333bj99tuxzjrrYJ111imtn6YpNthgA2yzzTZ+2cc+9jH8y7/8C+bMmQMA+M///E986UtfwnHHHYfPfvazeP7553HRRReV6qIce+yxuOGGG3Drrbdi4sSJWLBgAQBg8uTJ6O3tHdExRESMNjo5l6ef2ecdtE5WsFAnMB9JoQhOo+J+6teFfa50iwZ5XB1UamlZ0S3aH+g87wXxsGFgHyeAtgljkSgZGqSpqHWju1/bUMJeZME4q0CnKJEt25/SB07L2xeNjmwchZkoM07v607CDLdNu17XLKjQDqmSk6HvJPjviRJd/p4Y3u4SuSFBdjq+z/fbJn/7rGJPhkrgicvjOB4uol9k5IhiL6sxHrz+xKD4dSBHVblJmofNgswgX/8EBQmiDeHhJbfcK3eZJNou06BcF/9zDeRumQKUAnJtCJRct7UHjaFfDq7Whe97+znwNSySgkCJGBr3/8+Jo9rez28+CVyZ9O++/dSOr+VF1eDwmpiVsSYy+LE+1AudJv3qfivfd5XS8pY5yr9LGBmze2892Wdshb+/0MgAA7t9fH6XHURU4SIqhnqNJV599VUcfvjhmDx5MiZPnozDDz8cr7322qDbHHnkkSCi0muPPfYorXPVVVdhn332waRJk0BEHdtcln1HRIwWnnjX+dBMWNKq47VWL15tjceivAdLVd0UULeZGS1b16EadS+E9rVSaolCT5JhYq2JtesDWLvejzfUlmK9+hKsky7FuukSrJssxvrpQqyfLsR6ySKslyzC2mIJ1hL9WEv0YyI1MFEMYJIYwHjRxEQ5YAgQyryMl5HyMhknJusktyRKjhop/1/A1D+pIhEaNakgbXF3shMEM2FJVsOSrNa2TUQ7/vAfJwMZAbmpMUKK7PxIJcLAZ1G7ObILfnPJLB9I1POauTbXvulq3PqWL+Ou/ebhsYMvxG8PPRe//8gZkA0aNJhiMExIWkhEez0TYYvDJ8JkSCVCWyLQkBeJzbJKpCE2hDAyWkJqW8Mv9NaZf6ETw0Wu6gS2yCp7u59sW1K6fdjaO1qgZX+DLgPm04//O3734TONNJcmQ1rBtKNTRj5RI39DjvwNOaZ9s5BajRgcY2GL/PWvf8Xhhx+ObbbZBvvvvz8eeugh3H777TjggAOG3cb//d//4S9/+Yv/vPHGG+PHP/4xHnnkEey444743Oc+h+OOOw6nnVbI5V5xxRVYuHAh9tlnH0ydOtW/brrpphH1PyLi9YKr5eEdx+7FxkFrYzk6EyYhAmd3aTG1v9owlm6ITgGAYTysnR9YGsJE9TBUT3SMDgcvnDLL2BjKjBMngUWVeRgEqxbRnTABgGfOnVUQAXbcPX3hLDw1Zxaeujh4zZ1l2llGW8SPVWcfOQREyJA1d6rHWHnvtxtm/1yQi1D2PNqX/xyc1x1P6CuRIUzwsmaO4HTY4aS+4XUgYqXwi6xqiJkmqzkevP5E7PnheWAvT8RgSYagCFB1+LbVdWiTzwJ8NoqLlveZJka2grQlR7QG3DJf5L3SviUzSvN8t2wDDS9c6CSYSNmHSScj4LanIuMEMM77Ttj9Y/PtPlGaSIoTZP498vUY3d+GikzXXodc6t93kqUa6h48HOLESbBVsz3aCl068iE3+yZrzGhpDUcm41QIa4d0uO5he0D7fgeFPeZCvivIziEAgnxReKB8/kizWd9mybA073W8c48IK4N252GHHYY//vGPuP322wEAn/zkJ3H44YfjBz/4waDbHXTQQbjmmmv851BLHAD6+/tx0EEH4aCDDsLpp58+qvuOiBgt/Oqd52Pmj0/DkqxmpLiYUJO5r3HSyMxNzcRCEHJlaj0AADEZJ7LQqNnMkglpExOTZpBd0sREYeqXTJSGDBlPLUOEUI40eFo0tUwEGpwgZYUGp5DQaDD7zBdX1ySUURJBG5IYypIoglLbrpH4CuGONVcCUjCWtszvt5sc1wF7XuDtJBNIoiH6W0CjCTSa4Mycr9v/cdWyX4xVDOTqfLlLof1k2ua8CuUuNu+b3yadQYow0ToPhorc/N2JQ9t7x/3yI17mDQBSoSGgscUExssDb7CSXGbn2u4wJQ0tFDQL5Fb6KCRXkCclW4YBaE1AzuXMWPd9aAsBZYdNmIFi65S4Mak0oZVLLKQeS+gwemWGmvXgHPfLj+Dd2wG3PvGv5tw5R6Ng6BqDenOwjrF3I8FY2CJXX331iNbvVMfk7rvvbls2c+ZMPPjgg13b4ah3HrEK4qk5RrrLyzkqc6+klvneF5x2zm+LkrxXJZp+2Bgqwn+on9Rw9xc8q4bFtj1pkphMB1LUVvfLYcZpfTbAwGZXwDx7qhT+ORpYw6QZ7fO30IEJEvqMqLA/XCYEAOxwQp8/587f4MAS4LA2awc8fcHQ53j6WZYwcH0LiZIg0MKbUuFYRjH02jJJGEOPu4rfpK3ebbgD2za5/rig1Aqh48g9wJAhXAfSJZYoYXg7x7U3GEEV0Y6VwS+yqiG63tYA3H9TOWvgLe+/zNxrci4VWXJoI0zC5Z3IEs3lh3wnxWXJEr/M1TSpFHk31SXtf6LhESiOONHaSywVawhPknida2aomsCeH5rXNYuiqnc61pqlKzuWNdskdPqPJvbfp3AyDXZpXFEwynVnQ4Qc8SCgE1Ms1dW5CR0uPtKI7DZAR6IGqBgGgXPHtdUW/eraE2yNcyp+U4Gxe++tJ+Mt77usyBiTFedRxLBQTVLrts5Y4be//S1uv/12PPjgg9h9990BAP/1X/+FmTNn4tlnny3JZFRRr9exwQYbdP3++OOPB9DZ6bG8+46IGE08cODFpc8H3D0LidB4rdGLNFG2GLZAlksoJUrPagmbqP2eJMekWgNrp/1YK+3H2slSTJQDmCgahiyhFiaKBsZTjjoxxguBFAIC5okqg0bGGg1WaHKOpZxjqTaEjGRGQ6cQ0MiseexrmFTC6hSb+icZJ8hYItMJmtrUbGmoFC0l0cwTLG3V0N+qodFI/bbpM+Ow7cN9JtKwAtHK3Q6KIBMAIAFICRJrnpP6xc8smy2yeV/nbMzmG8yc2zUbdAgc8fAnIEhDEmP8IA/q69aWYEDV0NQJlqoaci1LJErOAoIYCWnUEpN1AgB1mUNpgZwFciXRUhINkaAJM+6QB9njYf00VOwWoHCaZMLU3SFpiszD1A5qKelrCeUsMClt4g21peiVmSd53rHjk/jqztdhxx+cg2aWoLm4DgAgwaiNqxSHiRgUK9oWiYiIaJfumnFaH3QKyAYgrTyyTqwqZHWeqDjHS8uB5Xs+Gw2/QyW4Lyx4z0lxbG5u2PrCPjx3ZrstourF9jopP8fqBFA9o9DXVQzLKmO2wwndMyBIL7vDf/pZfQHb0X09HyRCFRthsG24bEdU91Elizqizb9YJlRCwsR/J+wmdrzppGg/Gw/85tJZeOOn+wx5pYr2O8qaRXRFtEVGjkiarKFgASAhE4Gv2TO+QJmg8ASKMFFqBC4bBCH5oYtlRUaJ+64LYeLaCEkRzZ44GRTVjBOtAUVmmeuDvdPqpGhvzw/PAwvggRsrD+KDTSLRST0kBiVLHEkA9qd3n4MvAZh9ZoknRYZRz4QF+SBTs4AAZk+Y+N3a9z+554y2Nvbfdw4A4YeklihP8GyKnRI6RE1UxnBbpGeJ8RviWKjgWcwvrCBO3vK+y0ptjro27hqCFjNaQ0RMuO8XLVpUWl6v11Gv15dr/w888AAmT57sSQsA2GOPPTB58mTcf//9gxIXd999N6ZMmYK11loLe++9Ny688EJMmTLlddl3RMRYYiBPIYjBTJ6UqPLcZCPg3fuETHHtRChfp6RuZbV6KMM40UIPKU+Y1CGRkoSwN2Vp96ChkQFd78+SNFTFK6Jt9omydU9MTRSJpk7RtKRJSydoaYn+PEV/VhAm+dIUpAhiafF0vMvRfeh5TeMX3ylsEcpUKTOXiQClgTx3J2TZTvYahC0umw+44ImwBkoQzJD3mgwWANj5mD6kA+zrhB3x8CfQn9eQs/BZGS4TIyGNccGTU8YSAyqFFo5EUxgnM2S6uE5FGxo3zWzPEHr3zz/rpboAI5eVs0CuBTLSIGKbrSShBBeZJlV7tRr44yNNTR0UQ7YIsGQb/0QQ1oZWWqClJFpS+ppDgkz9IcDUaAEmAwBEan5DMjV1hyKGj5HYIhEREa8PXPS/Tqzz1mWh2Hto12evihPZZ+O17WDUu7xM+/CBpFR2Mm99oXG+P3dWQQro1M2f8BkBzqfDSYzsHw5mnNpnzrWTy5Qo1dIp/A3m3/QzzPpORm7G6X1GSk0WY7EU6NyBxEAC7xH3RIQjTQI58LDuSanPp1cInsp47qggUlqhgx/GvVyGSSB97t/bdRkoZZH4Qu8WO87qgz+FVGwTSZORIdoiI0ckTdZAuELpABfESSXK3a8b3A1JsCFOyDm/3d3P3rEE2j0enZZV5JzanADCZJx0lOcarE6EJpBgW4CewbrCZFtDyN189/joPLufSsRIJUoDAB7+RpTl6oZOZImbVH9+y8kd16e8A3kGoJCicu2EBJ5dJu3YsF/ddcey1UH56V2nG6JGEDgnkDSZHDp1RJvpj5PCqhIj7v0DN5yIPT46r82QCNf1Rd2rh4symcQw++RihSKiNDBQSQMPXxvH5HAxkoiKjTfeuLT83HPPxezZs5dr/wsWLOhIdEyZMsUXT+2Egw8+GB/84Aex6aab4sUXX8TZZ5+N/fbbD4899tiwiZxl3XdExFiD7U2V7JOdsjfRJKgF4oq/99YyTEybGJdkqIvcyyEBgIaAYjIZHyygiKBhUss1MTQ0NICMNTJoLNUa/SywlFP06xqWcg0NnaLBNdtGcbPVgVxXSjlaLKEhkLFEQ6dYrHuwMB+HV1rj8WprHF5r9WBxswf9rRQDjRqygQRYkqC2SCLpB5KlQNoP1BYzZNPc6fffdw5kIwe1cohGBrRahihRVuxLCCCRgBT40YuxllU3bDXHPOyTNCSJ0x8Hys4gh53/sw+yyV5P3KGhUuQsfBaGJ03AyElAg8x3TP57ALhj78uXqd8/eOuXcOav34d+W5U31xIK5LOWlmR1LJQ9UEogE0nhZ5GMPC1sjd+dcAK2mtNnNMEZhijSBK0A1ABm4XwUyK29IpQAEUOlppaQZnNsS5IeJMLU9dFMqAmFtcf1Y2mrhlZNoiYVJvU0AAA/3TeOyeEiRndGRKx8YFlkU/gaD4HTthMh7Zy5HDh42xzKgXO7m1SR+77jdsM+ANtMt+0Ckr2oe8UmkEPB33S2PbevyFBJ4Z892c4nOjGEiWgNTzJqTcV25xhpM3fOHRknMuCp89rP27aft+t3uH6hIkwY+OGX6cLH4IiDaibVSPDUnFnYdnafJzncPsKMpap/I/wNACYjZ/pZfaAcxfgKgzzY1oUJyJJQdstLmwXH535/OoHPMvEVA+x3T86PY3K4GAtbJM9zzJ49G9dffz0WLFiAqVOn4sgjj8RZZ50FMUiW/D333IMTTjgBTz31FDbccEOccsop+NSnPlVa57XXXsOZZ56J73//+3j11Vex2WabYd68eXjHO94xwl4uOyJpsgaijY313touEfMdJ/cgsl/ByguZqEhXF4J87QYCCaroFVrixDnF3f+QMOn0+3LrdWM/g0wWn+3C1OUYOiNk8aNjeuQYjDBx34fjYZ+D5oI0IEIN7+D6O4LEEXiu/VEpGs8Aa0MWCgCqkuFkJupKnZOAXHzgBhsh3FZLJWRX4Am70m+PO/zeSp0bJLopYkTQoLZaA53WAYCXX34ZkyZN8ssHIydmz56Nz3/+84O2+8gjjwBAe70dAMzccbnDhz/8Yf9+++23x6677opNN90U//u//4v3ve99g+43xLLsOyJirLHglUnYeN1XwQFh4sgSwBSlloKRSIXeJENPkqMmcgjSBXHBKVKtIOyEYgqz2xs6FDQUBCtomKipJhOWcoqluoZ+rmGprnuypKFTKAjvBAeKWhMSuqh3AoGmNoTLYtWDRXkPFud1LMrqWNKqY2mzhoFGiryRAP0JZL+AbBjCpLYIqC/SkE0NkXFbfTlIYeaPVgvcynzW7ZpUw2R54Yq0OnST1GABaEmQLXMN9vzQPLQmESYeNh7jkgw5CzTzBDkbQiEVptF6YlgWN07u3KevY/sjwSb1f/rxlXGCf2QTINELAGjpBNJmnFT7z4nJGnnxs8YW8YFCbcFKMHKgAMCAzgk5El9kXilGiySIUlOMXtvfk91nIjTGpy1DsNiMq3FJzDIZKUZii0RERLw+kA34ZzIgcAI7R3WFSBn281ngJC4pFizrT7zqn6ku67RJhSwxLy4CStH5OVS04GuaeMc8gCcviY7pYcNlVzgy4+LO507VzfkVtnZMmO1BytSUcaSIl1dDZUxi+ciSEGHdVFecPawj4mXCK2QcAC/15gu7u+wkO94YtiaMV6cp9kUMILeCMU7pw+0T9r8slvm245Q5YoyFLTJ37lxceeWVuPbaazFjxgw8+uijOOqoozB58mQcd9xxHbd58cUX8Y53vANHH300rrvuOvziF7/Apz/9aay33np4//vfDwBotVo44IADMGXKFHz3u9/FRhtthJdffhkTJ04cUf+WF5E0WQPw1vfaTIDA+duWUUI26r1NOitch4psE7DfhqWLohcg6OK/ECArl8VWPikkTpz0l88msA5q19chZSgGyVYhXdygSbHJIuDulopn7INlTqohYggEkTQAfC2ObnBkyt7vNhknPnIikFBzRImWZtk9Pzxl1LsNFLJd+x1wsdmnpKIejiw0z8N6Iy6i4cHru+ishxlbzti2kRnsJMAAn5rqf0eEgPAr9hvWMPGpqxEjgmbzGmodAJg0aVKJNBkMn/nMZ/Bv//Zvg64zbdo0/PrXv8Zf//rXtu/+/ve/Y/311x/WvgBg6tSp2HTTTfH8888Pe5sNNthgVPYdEbG82PqiPqgaQ9cZulcjmQj8fckEJFKhJhVqiUJN5kiELpy11jnbIzPUZQ4BhmaBJXkNmRZo6BT9oo5xsolxooXFoolXvFxXy6wPQosTNDhFv65jqa6jqVM0OEFTp8i0hAqiNCTKDmOgqG2iWHgprqWqjoWtXizK6ljU7MGigR40BmpQAwkwICAbAslSghww2SVJP1BbopH2a8iGgmhpUKZBWkMMZKD+JtBsAc0m9NJ+6P5+AMCd+juv1yVapeHIAlLw9kinujEOv/yK+W7nY4yefd5LUD3AP5/aEGK9JsaPb0AIhrLZGADw63efNyZ9P2abe/z7ox45Cr0y85kmjTxBI0+R5RKsyWRvsyFMgIIwAezx2+hObaOn1TgNrjE40SABL7erMgJrU2SemZArAaVtXaFUop7k/rc3KWliUmoInEWtHjRUgiVZbUzOxeqMkdgiERERY4MdTuzzMlw6sX5fDRPlXvGM+cc5e+8Eujtpuy2n6jqV33jpmbFjw92XdcxgCUgeT5TY6H2hACjyQXsis8GvQQ1OyoP/KJzTT1weCZPhwGe6Mrzaym8GIZueP818t835BVkiLFEiQ+LBXldSwJPzxu5auMxclzHDVBSxLwVTO/+GJUHCAJVkadCgqzscHE8Y2EHaODeEtV3c71KlBCR2LNt6PC6D2Mt7VYijiOFhLGyRBx54AIcccgje+c53AjD+jxtvvBGPPvpo122uvPJKbLLJJrj88ssBANtttx0effRRXHbZZZ40+frXv45XXnkF999/P9LU1IfcdNNNR9a5UUAkTSK6o8OPpUScCBulDzJRC6AyccIMhjayWb42ivOQh9UtLAKipGumiYMtHF8iXkLSxWeZoPjsqerwgFy/Czz0rUiWLBNGGD1zzw9Oxt7vuKTrJqHxudd7DPF3723dyZhlxX4HmOLELAlamv9AYUCaD+3Sdbt/LJCkcBkjIZHXiZh056hrdondd8cfX/njbkfNxyPXxLE6HKhhRFQM9X0nrLvuulh33XWHXG/mzJlYuHAhHn74YbzpTW8CADz00ENYuHAh9txzz2Hv75///CdefvllTJ06ddjbjNa+IyLGCkSAFIyaNE5aV9vB1ZEoESYgZNpE5DvyIk+cjJLJPklJoaYLCS/FwhImNfSrOvp1DQMqRcYSuS4LcwvSQXZJ+aarrBRTUydeNmlJVsOSZh1LGnU0B1KogQSiX0I2yL4A2SweEI28JEA5Q7QUxEAGZAqU5YYwabXASoF66rhzybVjedpXOzjN7pFGFjz+tVmYcWofdB1QlgdQLYFGmqKe5hBCQ1rbdZcfnQkAeOzgC0ev4xaH3PcZAMDadfhxqVmgoRK0lIRSwtTtYxOM5KYs52hJFwPUCyQD1t5w0dKEYn0fkYEic4UJrE2Gt9YCijUyLUHK1HBxtVzCAvb9WQ1KGyNpu5s/j98eeu6on4/VEWNli0RERCwfwkwMoLhV+loQAm2kSKm+xGBtdwlYLa80zGXV/VfXC7Nh3PFU/Slc7jsHcwUzAAlwAsD4J32NjYhhwtohI6378uzZs/x87jNLYK+Fu1a2TZeNMlrZJVVsO7vPZ3r4WiyOtEFByoV98rbIIpi6I8HvhcNYaAZEzj6LyWVcF3ay2wFDkfU3IhizDFMLxbVrSaUdTurDk5fFsTocjMQWGW6t17e85S248sor8dxzz2HrrbfGE088gfvuu88TIp3wwAMP4MADDywte/vb346rr74aWZYhTVPcdtttmDlzJo499ljceuutWG+99XDYYYfh1FNPhZSvX3GlSJqsAfj5LScX2SYWJQeuIMBJRFAQ8T6YN1vAZI/AZoxoxxQzSJPN9DAzhiFPUDiUbYHTtqyWKmESZo9UC85LFO36btl+CeG3paA/XpdUmxuyNza0oW/aCsNHjCn2OdgSJlyMIQDtxp0sxsFe77l01IkTJlPHRNcEdBLUMHGGs+IiykPA1EAJjOewOHxHA5aD35r7rCvrVFGVBKtEUvBghGJEG1a0o2K77bbDQQcdhKOPPhpf+9rXAACf/OQn8a53vatUiH3bbbfFnDlzcOihh2LJkiWYPXs23v/+92Pq1Kl46aWXcMYZZ2DdddfFoYce6rdZsGABFixYgBdeeAEA8OSTT2LixInYZJNNsPbaaw973xERY43nzpiFaVdcBkzIUe/NIGVBjjgHbksbAiQhDc2ERGj0qxqW5PVSgezcOmwTYTJRJqRNjJct1EVuCRYr4aUFBlQNS1UNS7I6+vMUTZUgU9LbMFJo8yJdynLJtfCO4ZzN+1wJZFqilUlkWYK8KaFbEjRgiJKefkOUiFZZs5mlidRTNUAnxjMhBjLQon6g2QTyHNxoAgBuX/j11+2arE7QqZ2DNQ3unKpg2jfnQmxgvUOSwTWT4qkyiRYxagmQyHLhk51/eBYef8cFo9f5ALmW6NdmrL7a7MWigR70D9SQD6TAgPS6+wAgmqZ+SzJgu9+yTo7EjDedstUhZ1CiQZJBgo2JbE8S2d8fAz7TRGkBJQRaWkIoBlBDQhoNlWAgSzGQpWi0Ev8bihgeVrQtEhERYaL0p5/R57MStb39U27mbe8QDp7bvNSSfe+eA/0qAVnR8SccKAcUz76V9tFOrHS6xbY9a1aeMUPlBzCgCV7WyMs62gwBnZPJNrG2ik4KmahnPh8d0MsKnRaZEcPF9LP6QNLajpZ0cWOx5IcI2pxxah+emjv618llH3Gt6IMjR7QjS4LsJNkCoE3mElAhelymExsb2GSTGGlUUkaeXSj2yjVGYpUhrURcNq7wuzipsFA2j+05ixg+RmKLDLfW66mnnoqFCxdi2223hZQSSilceOGF+MhHPtJ1HwsWLGhTvVh//fWR5zn+8Y9/YOrUqfj973+Pn/3sZ/joRz+KH/7wh3j++edx7LHHIs9znHPOOcM84uVHJE3WEPz8lpPx1kMvKy/0NUfs29KE2/2hs1rfgWFYYFNVyFgURi/TkiBcOJ3BbBl4S5pUHeVULvLdaafOudKxrElV0qskBxbMMyOMRIwYJthkgxzw5sKZcOcvzhpk/Q4XQgMkrHXJMNlMgjoajqMCSxy2Ff+zxuaQBIddd7gRR51QrW1SMr5RGOfDilaKaINmKtUp6LbOWOL666/H5z73OR9R8Z73vAdf/vKXS+s8++yzWLhwIQBASoknn3wS3/zmN/Haa69h6tSp2HfffXHTTTeVdDyvvPLKUl2VvfbaCwBwzTXX4Mgjjxz2viMiXg+89J8nYdvvnwcpNbQmU9yabK0QLSAD0kJpgUQqQ6Cg+A07p64rizaQpOjPUysl5OqemALWOQv05zUsatWxtFVHI0uQ5dKTIVJoJFJDSkOcCHsTV2ykinJl+pYrAe1eOYGVAFoC1BRIWiarRLSMNrp70PNFZZ0so51PSvdvKQApgVZm/kcsMzi18T65IQB+d9IJuOPF6f77t2/2dNdtdY9uczyxBrQSyIkBJJBSlyTbxgo5G7KioRI0M/NSLQnOBMh5KwJngU4Bbeu4MFnCpGacEyY6tAiCMgSJWUaeNCn2zUzmd2nJk5wEWiQ9gZlr4XWuKcxWiRgWVgZbJCIiAnj6olmYcVpfiXgIpbrdYv9sl6D0RddnNmpfTp32MQzCZFBUnzmr24bzmZsvLIEeFtYmrzsdZNdE7+ByoUqYPHvOLPzrZ/v8eHjii0OTHNVi6L6eSVqQBDSGZcVImfGgHWHigkWrvhJLcogWvGyW97eJYtu246sBILIyZAzWBVnk5dAFQeSGPNEp+exZRqUPrth8xLAxEltkuLVeb7rpJlx33XW44YYbMGPGDPzqV7/C8ccfjw033BBHHHFE1/1U66uyk6q3y7XWmDJlCq666ipIKbHLLrvgz3/+My699NJVkzS54oorcMUVV+Cll14CAMyYMQPnnHMODj74YADmBHz+85/HVVddhVdffRW77747vvKVr2DGjBm+jWaziZNOOgk33ngjBgYGsP/+++OrX/0qNtpoo9Hq5hqNn998ksk4KRXchr2hBaSEu+HpgGUIHMv+s3sTTvbaEiSV2gwum4AUm3XcTTFkzl10vSNNOkXwowMJE4LIt4VOEl+2MHyopXj//8QMk+XBUJkfB7zlQtx535ntX3SQvOoIO67CjJPRRqj5Ghq5PkMJ4W+lbMy4FNESunWVu68Tzl2hQVvKOgkcOg9fG6W5houVIbpz7bXXxnXXXTfoOhzcz3p7e3HHHXcM2e7s2bM7RnyMdN+rC6ItsvLjmfedg53+39loqBQqF2g1A1OUjaMaioCGBCcMqimAAJGYotVEgMoFWFnnrWCIREMmhgBJpHIxIciVRJZLkxHSTICWAHITFMIJg1MNShkktL+nsxLGQd0iiMwYEZQBIiNIBSRWj9kVSRU5fIQqhfrTTuLCOiNEBsgWQ7Q0RKZNgMj4HvDkcQCAOx6d/fpdhNUQvz9u8Dnxhhd2x2FbPtS2nKQGj0PxJC4YJG39D8BnU2g9hsEbACalDQCw0m81LGyYLJPm0hrQkKCMCtvXgiUjHw/oWmGLs2RDIEkGSwYSk13igzAYFVlaU3dQWDIFMKRhpgxB2cjN944gyZXAQDM1cmEAnvvA2WN3UlYzrAy2SMTrg2iLrPx46uJZmHF6n6lBgcJR7CWt7P2WNIAMUL3wGRpgeNkus1Lx7OZRfeYL/SVdvhsMndQMqiQMB/3QSfFc69fLTS0rEENkBNG0UfpspESBsa2XsSZgsFpqADDjtL6OReFlA6AUZQLAjQ1rQ1IOqB4gHwckYxizoNPCxtWOMHRmhkBpwMkmIAdslpYN5GC7jRt/Pvsa8JJ32mejGJUPqlkSRhFIs892IQaSBkNn5NvUifHFOF8NAPx6fhy3w8VIbJHh1no9+eSTcdppp/larzvssAP+8Ic/YM6cOV1Jkw022AALFiwoLfvb3/6GJEmwzjrrADD1XNM0LUlxbbfddliwYAFarRZqtdenvt6oibxstNFGuPjii/Hoo4/i0UcfxX777YdDDjkETz31FADgkksuwfz58/HlL38ZjzzyCDbYYAMccMABWLx4sW/j+OOPx80334xvf/vbuO+++7BkyRK8613vglKq224jRoif33Iyfn7zSfj5zSeZBY5cIFsA2xIWxoFsHRLh5B6wzSzMNq5gtpYAJ0bqiFMBTq3ckSRbL4KgEwGWwm9r5JDILJP2f2LbTGyf3H5cNkCwT993GbxK67ffEFxWAAVGRsTo4IA9L8ABewaSFfb8H/CW5dD/toTdWKGIvqHuZAfsxO+kuUKSpYvWbXljFMZyh2iIzm2SP38PfeuEQfsWMThylsiGeOUjFZ+NWCkRbZFVA0+863w8+75z8MKHzoJuyeK1JAUtTCFeS5G+JlH7R4KJv64DTNCZRL60hmwghW4k4IEEvDSFXpIiW1xDc3EdSxf1YPGiXixa1ItFC8dh6cIeNBfWoRfVIBZLyMUCyRIB2W9eYkACAxK6KaEbErw0BS1OkCySqL0mUXuVUHuVUH+FUH8F5vUaUFsEpEuAdKkp8J40LCGSs3nYCwhQV6BcKPbSAiwJelwKNa4GTiU4jfef0cQPX9weP3vJyA8u1XX8U5nsvGufb6/jJBJtan4IAJItaWIMRCdd5aC18K+xQktLZEqimUvkrQScWaJPkXUQBFHBzpGRMDhl6B6GrjN0qsGpWYbEHFt4HOxDNQtSCGzeOxm6lpJoKWmkuHIjy/XAgRcXWV+VqOqIoRFtkTUH0RZZNfDUnFl4aq55iazIEnVFqYUlUgjmO+ewZWn9HkE9kE6KA6U6DGj/figM5acIo/9DWbE2AsftOyBPnAyXrsHU9Oo1r4jRw46z+rDjCX1+zOQmRqZU9N2DDSni/QRuag6COYUbmxnK42q0YcczhcFATuY+IEzccgpIRO8P0TbgqFX8jnx3XWCqC6q2ZKVOgbwO5HVC3ktQdVNvFmxsaJEzZJPxxBdmQdh9h7WIIoaHsbBF+vv7IUT5QkgpoXX3NKCZM2fizjvvLC378Y9/jF133dUXfX/zm9+MF154odTOc889h6lTp75uhAkAEHNHkaNRwdprr41LL70UH//4x7Hhhhvi+OOPx6mnngrARE+sv/76mDt3Lo455hgsXLgQ6623Hr71rW/hwx/+MADgz3/+MzbeeGP88Ic/xNvf/vZh7XPRokWYPHkyFi5cOCxWbE3HWw+9rJTiZm5iXHLsugwSllRMzIGDeTBncSFxxL7YEykujAjXhstiCR3kNtOFdJCRwLYNHYZZwBZXLfpnlts2JXkndHgz/8V3T1qGMxbRDQfOPL9MUrmsIYtO2Sb7vn0ufE2TACFBBkmlMXrvraNb02Tvd1wC1SOg6uSL9ALBmHUpsbbeiU6piLpwzrCcITNAZFxkMYW/qSACKDRi77/pRMw8bJ7//MANg2c9vemIovj86pJpMpb3bNf2j5/cFOMnDm5RLV2sceAOf4hzx2qIFWGLANEeGQmmXXkZREMgXWxrgmRou5eyABrrwDi4bcZouI5/cHL3ZpfunxcRc163W1pHgZUxcm2Klom2TAYMGZL2m5u3bLK5v7O1gaSdDxLyRLd5qDP/zcMfFVGe2rTh5gmRF0+P930/2iKjiVt//69IKUfGCf6eT8Qr+QRkLDFBmkyO47b9Sds2m99wkSmGzgQhNWRqspqkLQKvmYyirBYQwgyip987e1T7/cH7/xMAsCir4x/947FwcS/ypTVgQEBkopQhbcacGUDsyB5ppXHtZ5c9VZLQIpisE5SXv/Chs7D5jRd5k+13/3bGoH3d8QfnoJWZDLFn3vf6ySOMJaItEjHWiLbIyo+djuvzNU5KWf6BzyKbAO/kdXN/R3LDLQ9kOb3z2aGTD6WLZ670LFnZtqRQAJhI/qCAN+nCXjLPrWY/qgfIJpiGfz9r9XiuXFmw03F9fozopMiKUNbP+/RF7ZkRO5zY530MzgfhVS80AAEoK9HlfNpPXzj6GRbTz+gzJKEobGWfuSRN/REIhlwqkC4xNjNpa2+Hclm2v57MIzP+pM2aqeKx/5qFf/1MQSj96suDH9sOJ/Z5wuQ3l64emSarqi1y5JFH4ic/+Qm+9rWvYcaMGfjlL3+JT37yk/j4xz+OuXPnAgBOP/10/OlPf8I3v/lNAMCLL76I7bffHscccwyOPvpoPPDAA/jUpz6FG2+8Ee9///sBGHmw6dOn48gjj8RnP/tZPP/88/j4xz+Oz33uczjzzA5KNmOEMVEtVErhO9/5DpYuXYqZM2fixRdfxIIFC7yeOmD00Pbee2/cf//9OOaYY/DYY48hy7LSOhtuuCG233573H///V2Ng2aziWaz6T8vWrRoLA5ptYSvcRJMsgTrqAaXUt6qkf6eLa4SFH4FGMcBytFwDlx1JEvnJEfhaHf7ZzJSYegQpS9gMlnCLIGgr20RGMCQURsRyw5ibsvuGSn7z1WZNv/F0FJgy4xgfHrDtpo6HTjl3MuNbQ2bSqqpIB07jTMqzscDNxqCZCiixGH3j80vnY83HTkfD38jGrjDgWIBNcRAVPG+sNrh9bRFgGiPLCs2/8J8CCLIAYIcsHVBbBQdJ0E0J0xmBwvy99jQJvBFKX0kZREtSnmxnAUgEkAFD6MsTPS+yMz+kwEgGWAkljRJmhqUFdFwLAmqZoh2ZQl1AODckOjuIdnbQhJQNYLqcTIF7VJLEaMHR5j8PZ+IflWHZoIY4oSTYBDYF0sXxJCCDUmiBZSVqGIm/PbQc8e0/0oL6FwAmc0wsc4FJxtT6NKbTBK2ElxGUsxmyli4TBJfzwTthAkA/P4jgxMlDnv99GQI0QMpzfnc9vvnrTbEyVgj2iJrJqItsmpg50/1AT3w/ogiSAJFFL2TbQwkncmVxAr8Gt73Ef7v9tseTsYedwhSde0FgSXh7YUYgCpsHxHKkOVANhHIJ7Kp6RUxJnDjxGUcA7Zo+iDwNqyrEaJgg4oDX5a1XX9zydgQBaVsl1JAsku7YkCb4CVXz8TB+0fsMSQqCBoNgprC4FLAECbA0ESJw4zT+kCBrHo32bOIdoyFLfKlL30JZ599Nj796U/jb3/7GzbccEMcc8wxpbojf/nLX/B///d//vNmm22GH/7wh5g1axa+8pWvYMMNN8QXv/hFT5gAphD9j3/8Y8yaNQs77rgj/uVf/gXHHXecDzh4vTCqpMmTTz6JmTNnotFoYMKECbj55psxffp03H///QCA9ddfv7T++uuvjz/84Q8AgAULFqBWq+ENb3hD2zpVrbMQc+bMKRXBjRgZqhOwy7hnQSbTIyhk5UCdJm7/ZRDpCbutNo5w4SyHwMDwfaAwu6BorFSMG5a9Rmi0UJFJUiJtqHx89v9934sRnYPh7bvONm86yJrd8UjhJHj7buY35wkSUdnGkh7DJUzaMlRgr50oZ5mMNvZ+5yV+7JmdFllNTkalhHDSF6ZAGrE79IIpFJkzGFxjVDJ07r9pZHV0dv9YkWES5TBGDg2CHkKNUo9ZjnPE640VYYsA0R5ZHlCLipogIXGd2yQQS5yIZvAwFjohApvDR+YpV3MkyBq0DhCdkI/+JF1E7FFAssjMbGuWB3ODBkizzzpUdRtJJ1xmCwXkShCJavWbVUrDKgS6JuPlP01FgwmaC+3lzBoUO29SPHA98X8b2+8kWizR4BRAHa+pcXhNjcOr2Xh/76/rDmGNFqytbSrYF3wXjjCxIAISOTayOPvfdQImWIm2Zp6glUnoXAKZAOXWnrWRnWYMW/tcFIQJhCNOuJDcgiVICG0F4IGCMBku9v3ZiQAExtdaGKAU/Y3XTxphdUC0RdYsRFtk1QPlAGowNkWQIeICLkryV34jdCZEgmWeSHGbcLGKJztEZTtut3d8UF6Q+eKfS60j2kXzO/kj6Mq6MAEpyQDw3Fkx+G4w7HBin5ds8zagNSUe/1phx+354XlQdXNydQLkvQSk8NfMTcm+RkgXODLBBwYpF9iDgrygMkkx2phxus30oMKG9UFHbAY75QTKbD2TFvxvgoXtM1lbOjN+Eecm8f6e0NdD5XM5HOxwYh+QFrZ7nDZHhrGwRSZOnIjLL78cl19+edd1vvGNb7Qt23vvvfH4448P2vbMmTPx4IMPjqg/o41RJU222WYb/OpXv8Jrr72G733vezjiiCNwzz33+O+pGoHO3LasiqHWOf3003HCCcUNf9GiRdh4442X8QjWLLi6Jm899DJ/83ITQum7TkXdNQfFnKwlEBSKDwtYO+cxS/LyGGGx+JDgKBeEB5xsNNmCr6wYlJQd6VUCJ8pujQxv3+XcjiTJcFDNLPESabYeDg9Si2TfA+cWhp7fHsX1l+2EyVvfeyl+fsvoZpuwG09sJ3hf+I+LPikCZNHHsAiZIxZFy7YlgISMBEtpcNq3IyVMfD/t9jG7ZOSIxVfXLKwIWwSI9siywhXw3nZ2Hzgxt1tVN9+5qLGdP9VXdkBYyQkX5VmW8HTax04Ky97PXWZgQlA1Q27rjLzkAFDcZ1UvMNBLwRfSSGy1irmhfwNC3lsQNNXoud+eF4mRkeC1P2+MBitkI3hQW8qpKVoOo8G8VNfxipqAV/IJ+Ec2AYvyHgDAn/rXQt4limPatXNBialtIqU2xAOZTBMiY6oSMSQx6onxlsz88Wl44MCLl/+gA7S0GWtLWzU0+mtAv4RomUhOT5AIS5g4x500WSUiVUHhenhixBElDi5TBgB+9+GRyxqMSzL02HPwvT2/uqyHusYi2iJrFqItsmrh8SvNnL3rJ+ZD9QRSzACeuNx85+STVI81DwoTofBZsL0PO7sglBF1TToSxAbhOR9IlVxhZ1cECgalTFu7TDaLz97JbZ9nY5DGyLDT8X0FMZUObxuRs61zY2r4OhAA1oWbJe+x9Ug6YJej+0DjYeqAZMU4cDJrneqozji1D0/NHZvrq9Mi6MeNY6kANIw/L11iZGzBplYLCxii0fXPycFZdwgTgZjN+QluYe53NxKwhK/J82QsAD9iRFtk5BhV0qRWq2HLLbcEAOy666545JFH8IUvfMGnzyxYsABTp0716//tb3/zURYbbLABWq0WXn311VJUxd/+9jfsuWd74UaHer2Oer0+moexxqFEkHT4zi1nK9lV/Q15qS4unMQds1EouPkSQEFDgxbRDsDWuABi1sjywmeVhKgSIEBbvZEhUeg/DL2uHQttdWgqmw53fIwEe7/7UkBQefIOs0OccVq89W+8cWuNGGKTmKUVICRBSy450paXMHnom5EoWR4MLw01hqmsLlgRtggQ7ZHlxTOzzYPPjFP7UA2AevzKWXjTkfO9o0Cntp5IEPDhiBGXPUK28Lqrg2ayPwikGEIBrAg6jNoEfCFKTt0+ij6QsoVgE+PIHvgX80T40jHRFlkevPynqeghgTS46E4WwD3Y6S5GQINTZCwhwFAQaHANS3XdF7IcUDX050NnQ5DNLAltD80EYZ1abnqQopypMRrY7UdnYEKd0FLG+9bfqkE3E4imgMioiDIFTFF3kKln4qOeufgPY1uzjwoFQFSYYzbTZKQZJg7/u9cXl/k4I6ItsqYh2iKrJh692jxz7XbU/DYZzSfnzcL2J/dBNs3znwvw8NkEXZ5XXZ2HkMzw2bLKZtSqLtsHBElYI8URLNI64R2xE7Fs2PGEviIrwsIFU3rFkxyQrfZ7tKoZfwJLZ4va4FEEsTfDUN9wtfpki30t3lAiq1qHeLSxzXl9kAQgkL0KZd6ctJtsGcJEthg6IU8UAoY89CaHMueQCdAJF3L6doXHr1i2MTtWsmRrCqItMnKMSU0TB2ZGs9nEZptthg022AB33nkn3vjGNwIAWq0W7rnnHl8YZpdddkGaprjzzjvxoQ99CIDRPfvNb36DSy65ZCy7GWHhyJNuy9/yvsu8U7kkn8FB3p31EPtJw2YOgAgMNjdhQV6Cw0d/okN7RG0TAgsCA7j/f5bN+RxhUCJMhDAEibt3tkU+mf8Hzjzff/jxI+fiwD3O8+u7DJNuklw/vbuLVrY3ACpkiehQ4wbdx+iyQicEnRptehCABCBH/IVjs5shXDFcQjmWUrRQnHdWKEwa6uDM21DfR6y6iLbIqoVuUXMuy26fg811yMYLqB4BZQkUF91H2kbaOxkBnwLrovTKZIvJPgHy8cYBohOAE4auB1rfgn3UvqgryEQjBfD8B5fN+Rxh8OTLG2EtATRYYylraAAZU0mSK2MJBbLSW8AdL05HakN395v2LG56YTdfr8SRJa/m4/FKazwaKkVDJWgo87hz5z59bX3gTEApgs5N8XSRMGSiQKQ8SZKKYhJnJjz49jmjdg40CC2VYHHDeN+WvtYL+c8E9dcIsgEjcZsAqoeg6gTVw9A1mKLvBFN/xdYXYVuwnhUZyTHA1Dexsl0RKxbRFlmzEW2RVQuPXNM5YM0VnN7+5D7Ihgmw8M+zYc0T++zoMkWMfGdhd/jaKS7AjlGqWwFUniPtNgQjD500iiyWJ74QncjLgx1O6jOP+l7WFZakYp8h4erCuGsy8yPzPJnywE0nYs8PzzN+ixpBKIbKTB07zlHKJgIZ8q2K2hKNPDd+FKfIwhVfmK4VJAxQBBuNFoiNvcESZswGZJ/ITEZTMmDIkjCgQzYBttlXWpr+qzpAuTkXsmVscZWaSJTwGCJef0RbZOQYNdLkjDPOwMEHH4yNN94Yixcvxre//W3cfffduP3220FEOP7443HRRRdhq622wlZbbYWLLroI48aNw2GHHQYAmDx5Mj7xiU/gxBNPxDrrrIO1114bJ510EnbYYQe87W1vG61uRiwH7vt+kHUSOoQtiugJ9s5z47Lo8KBm+ZW2dlwWCtvMFpQLzEeyZPnh6pF4sgPwNUmqWpNwUYoVtvmAPS/w6eEhYVICM356T3f5h7t+fCr2fftc20awz1DSy7Y52mRJ2EcTtdmuMUpMgZQcStEeZtvC0CUOpL0CQjEsCjgY9vjoPP/+wevjGB9tZJygNYSFlo1FOlPE645oi6z+uPtHp+Bte18EpgQ6JQhBYGkeLnXiouGokDEQBRkeZglqSdCpqUeSjwOyiQzVy3Y+YnCNQXXjkZCpeWpMUgVhb+xjXQx8dcdDf9gM4wSwWAvIwE50ZIkhToT9nFjyRECiCP2988XtAEwAAOggYkMxIWcBzYQemeMHb/1S13784T9OxqZXXwLOCZACbIvnOcJEEiO1tUx+ccDc0TwFpq/a9DPMYBEZQQ4A6VJjZ+jU/DfRmgRKALZGRkiGsCb7EoGOfVgAfvC+bHd2n7dxorzc6CPaImsOoi2y+uM3l87Cv36mDyIHVM26NuyzIlFhf7TB+sH994Q2+SXA+UJgnNZURPo7eScnBxozTJYP258SECaWNCllLvvISMDVjhGVKtlvOmI+UmWk6HUCXyuPhbleLiOpE1ni8MCNJ2KPf58PHWamBH4HlkXWy9MXjs0114nJeioFNAekn2wBMmMvixv6b6iIMSpIQZuxEhaWH07GzfSz+jwh+NScOL5HG9EWGTlGjTT561//isMPPxx/+ctfMHnyZOy44464/fbbccABBwAATjnlFAwMDODTn/40Xn31Vey+++748Y9/jIkTJ/o2+vr6kCQJPvShD2FgYAD7778/vvGNb0DKSEeuLOjkvN773Zfa+yX7myfn7J/OqsXYyzfiKvNCJTLFSBCYDZdV2iiiQBthIqmN9Og0mTGoXIfGypy4tkL85N7h62TfdcepJmo4HBvKZholY3uzVjUz1lTdRG86KRafRgtAaBMV5CJOXKSIT1EN9OuLwsMmokKEURjLWDMmYnSgIWLx1TUE0RZZM/CTe9qzF9/46T4jrVWSFSjuvZ5EkS6bpMgqySdo0KQMPeNaEIKhlCgkm2AKgJsoftPek+/5/Ngf5GqMO1/cDpME8IoahwabRxEBRo0UUldlFfBkioBGSgrC2iChrMBEOYCGTpEhQUoKE0UD2/b+BX3/+u1h9+cPnzgF075pCBESgJQaaaKQBoXgxwoLXx0HsfZSLO03XhValCBdDNQWA7XFGiJj6BohaxVhxpkEUEcR1awFtCKwEuCMPGlINQ2RaAjBpVonESsG0RZZcxBtkTUDv/pyu0N3u3P6SvVMfACdLAL0RBbYI85usfKgoRSUe85kCS+RpG2dDZ1Gh/LyYttz+yDtLVknQCGFRjbLpPB3EDOgzXoKVLq2YCDvFXY9AGSyMWQLeOTrw5fYfvC6E7DbUfPh6sPq1BByumb20a0eymhBNsqkHWxAtMhNNonI2B83CytLlhQZU2TPD8gRfIykYeq9qJoJ+ohY8Yi2yMgxaqTJ1VdfPej3RITZs2dj9uzZXdfp6enBl770JXzpS90jwiJWYmgGCeOIdiQKHCkSyGG0ZXuFv0mv+1VMUsNhpCNGBifH1SarVSW6QpD9w9ym8RrigLdcCBbDI0/2fsclPusIKGdmeO3OMcCbjpiPGoC8l5D1kk931UlhjLIAtLaGbQYf8eCNCRQckvkiJE5QRGGMzSFEjACKCWqIwTTU9xGrBqItsubC6ECbBzMEMongwilBbKQDdB1QdYau2eLadY1aPce4nhYksb+3O76b2Tjqu9XWiBg5WiztK/EPbxlypCxRsxNuJ/+AthkogL0mEP5zQxdVW7/27N5QEPj0NncN2ZfNb7gIgDBF1aVGIjWkNXSIRr+OicO0Ky4DTQT6GzVki03tlZ7XhJG/aDJEZurvUNMUT00aduz2EJQiQBE0CVNwVRGQCVDuMohNmKzwdVji2F3RiLbImoNoi6y5cLaHr+UgimA7L7OVwNeHYOusdxH5/hm7Is3lM1IEBn0Ojxg5wmAbECAEbE0xLs55kLFMDCApfAIiMySJU50IMzB2/cR8AEWtnMGw86f6QJZY0Dawx8hxGkJjLK/79LP6iswWR5jYzyUTyH7fJkGHYmyyMONftgBSDFUTZTWToY5Djz1BtCYj2iIjx5jWNIlYM3DPD04e8TZOkzxEOFmRIGhwkc0AYOZh8/w6UcJoOeEIEhvJUNQUscvCzAgfyWj+k2ajpR1kCYWT+FAk1z4HX1KwDYJ8gV7SDFIMnQhbKMwUFhtNaa7dPj4fWhIkgCUbSjTXso40S4joNCBNEtNHUgSRAaJlJvAwwyQ0FkgHRlPGEKo8fiNWHFTgVOu+TqS3IiJWZTz+tZFHXE772mXgVINSjTyTWDpQx8TeBmqJggyyDDIlzT3ePjnuf5d5+P3pvvNHp/NrGBwhIUlDs/BkR4skpM0q0Z4YMSRJxuVHFvdAVyOFHpGhhzKMF00oJizVdSzWvYP24V//92xkuUSWSwASItFI6gppotBby9CTZpCkkdhx0KkeyrJii8vmm8jhHkA3JbIFdUxaYI5HNoyzQaembo+zKdJ+DdkiyBZBNAmiJZAPEDiFZQPJOzl0TYMkQ6bay3fRcOe4OBWOGaItEhGx+mNZ6kzsdHwfBqaUSROW5nGZBAqyxRIuDlvNMfPS86fHjJNlAhXSWa6eh7ZS20aui3xx9qIunv2eUQ7uJIKLWTDXkTGceIvtT+5D2h8EZ9rso7zHSMcChnwAzL4Hk/gaKWacbsZPWI9H5MW+tACkI/9SwDEojhgqpPktbMAoaSDpZ8gmI+8V5hwHQbK6NkTHxjBwNiLaIsuCSJpErBDc/aNT/Pt9DrKSCLZ+BhhgZhAVNSViwajRA/tsErIkSUGYsKCCJKnWNyH4QmhtWpcd8La9L+oooRKCtNXFVJaEYUOcIF3+mfJNR84v10oJAi1bkwitSUW6a6i1GWqHmnHH0CkgErKkSGDYuIBOm1kiVKHzWRzk0MfSZnhFjCo0i5Lefed1onEQEbGm4aVjClJ+i5suBANoZKmvZ+FIEkFsakjASHVFLB+kleLKrHHnH94YyJAgY20e6pigYYrBtziBZvLXRFsypYcyjOMmxosmUlJQkJDEqFmZry8/sx8+s+3PBu0PSYaUGok0pIkUGgLFfpYH0752GZAXoZqkCcIaGpQTKJdIBshkSMFmSgkbsNECkgYhGTDOB1eMNR2wAR/aSmNImy0sTJF4JAxKFYTUEMTDP4Zoh4wpoi0SERHRCWFdkulnGke2qttnUcA7nGOGyejCyaGRtsGhEnDSUmxLg/k7dsX087dyR2g5cgvOf2DUOZw/ZYeT+vDkZUMQHmTq7OnUZJV6yXCx/L6w7U/uM0Xeg36XpnxLBHkfj/WJOEm5ou4Oeb+Hy+YuSXopIGky0n62El6mhmAoZTaUP57yONbHEtEWGTkiaRKxwnH37af69/scNNdrQTIIOiFo60B/8Lrha0JGdMYdj5yLA990XpFR4lIrBZmH7kCmqyqn5gqBQZuIRRaEn95dJkXetteFdmWz0f77XOTX2efgS5wcdymzxL3ApoAaS9MfkTPU8pInZCdqzb4+CSmX2UI+q8QbOUFBeF03TgydArpmCgSrHkDlJmU3lOPyUUHOwJAAOemzIbDHR+eV1pt52Dw8cEPMpBpNxIiKiIiIofC7DxeSkm++81QIYp8RoSCQaQEBhtIJ7ntbe7ZsxPCx97Tn8MT/bQwFwlKYMM+GTo30Fgtf9D1jiaZO0dApBmxoYp0y1EVR92QhgHO2v63U/g0v7I6UFBarHgDAtc/viSO2uh8AsNuPzkAzN6LbrnZNmhqyJE0UEqE9MdNSxiAYyFIsFySDU23mesngtRXqvRmEYGS5RHNyajJF7LouO8TXKMkEKCPIfoF0SSHTIQcAkRrnmuphqB6GHqcge3PIVEPKwuvAQxAn25zfB5Lw9tA25/fh2bNj9PJoItoiERERQ6Fa5HvrC4yzWyWMdAmVFBJihsny4bkzZ2HrC/oC34RZ7ouww4pjVB3+7jZu632461HNeN71P+ZD14DcJr5ud04ffnueWWfGqX0QuVHSVE4mXKJc5yYp9qlHw2sbsECekANK6hlgk+3atqmt+6pS873IjV9FBH4QsCFMZIuh6oTWBPIF7DnIlhoMO5zQh0QbhQ/ASJY9fmUc56OJaIuMHJE0iViheMv7L/Pv7/veSZ5AcdknxjAwN16fOYByJP/D34hkyojQ5R7ZRphYMgUAoNkTHgC6p5t2qImy/35zoFNRtOXgMkxyXUh9UZHpMhLCZPePBRIprm/S9ZUDI4BNIT1NRgospXKkCIq0Z90CEmscqB6C6gF0as5DWCxOOCNAmmhPLWEcD7ZBdy7u/5+hiRB3Xmd+ZB4euNGsv+eH5pXWGU47EWVoDK3NGQNaIiLWXGz5Pxf4pMDnP3gWfnGAsUEOvvc4AMBAVoPSwgca7vKjMyHAkIK9jJfbJmJ46LFehoZoGpKECE1OkbFEg1M0tXnfr2oYUDVkdrJW0lyoVKhSQfgQEhoKhB6RIbX7ueTpg3HHX7cDYIiULJc+c0UIDSE0iMz1JGJoEDIlkevhF9bb7Lo5YG3DTZWwBoIEBIMsaZLUc4wf18SEegtSaCwcMP3JW0UYKVkPDhNDk4DozZHUFVQmMbCwBrlYIBmgIho2BXSdoXs1RF2BpMmUCiuZuLosz33g7K79d3aeO61bzu3DC6caZ8WWl/R5xxAQnXXLgmiLREREDIZtzu/ztRycc/25s8z/LebN9/dmV2djy0vn+wfNSKQsI4TJMiGgIEWCwFEvxY3KMtjSYVWFibDp3PgMSAPZBLNsu3PMXBoKYcAWSveZHaK4xiJDSdpqONjhBCu7FWSqSGViM7QlhErEkM2uIWUlykRhB8Bu5yXKUkDZAAuhzZzlz4FVztCJCTz149XKfzlJL2Lgl1/pPk61AEgUUmEhcbLjrL6SjN2vvhTH+0gRbZGRI5ImESsMIWESfr7veyeBbeYDAJ9pEjGKYDOruWJdHo44EdRGUPnsEN191v7JPWdg/30ualtupLdsgotmUM4QmQblymSZAP562zs5UBvedS8RJsH+XJQEC5MeCyJDxATHJTLGI9d0Jt12+/h8f35UzZAmeZ2g69ZB4e6eVBRrUzU7iRMVkSdDGDkPXn+iyTZxsOvv+eF55RTZiGWGhvD6+IOtExERseZh8xsuggg1wr9zAQBDnixqGod2Iy9WEF2jBiJGgo2SFA1WSNUSKBaQxHhNCSxFHUtUj3nlhjDJraGSkMkCqYsc0PDyXlV8eMtH8OVn9gMANJBinA1Z3Gj8QvxOJWhkaYkwSROFRGrUpJXmIkamJJiHL8+12fVzygskI+nJICc20VPLkNv2emo5EqExkKW2ngqgFeH3H+ksZ7rl/1yAWi3HG8YPYFzaQj5F4NWBcVi8uBdqIAEya9fUNZKagkwUmE0WDRQgxPDG67Nnz8I25/cZzXwq6rtt/oX5xjnivEZx+C8zoi0SERHRDVtf2Fd63Nvq4oJAefbsWZAD5NUMIkYPWpp4TSUA2SwUJHwAacBuCIWSEofIAZFzVymph79xAt746T6/jSuU7ouruzoqqZEM1xKAcP8ZpIxfJu8t6poMhR1O6isvsPvOxxW+i7BWq//s6rtK4IkvthMRM07v8/VfQKbfTnFDNAvzQPWSCYzVxb5L53MIb/yT82dh+5P7oGq2T9bmeOOnDVmCXnMcsVD8siPaIiNHJE0iVgje8r7LLMtNBetsnfFv/sBlkImR5gKCGy2i73hUYFMzidlwCdy9PKgp8GUJDx3IaBHapLkcfnr3Gdh/3zkAGxks1myuG9msD20JE6V9e2HdDzcO3PUfDsoF2dkSFq4Am+mvKUJGQ6aFFo2iyCbJbNiJBnRu2qJau76o1wINtgWAX3xneNkhPpunekE4ZpgsDzKWSIYQg82idmdExBqHaf91KcR4I11EFTJkm++fBymMpgKRqWXCTD67gchE89dijZNlQi/V0UvAYr0YNVJosJkwNQtkWqKpEgyoGlpaQrNAIhQEaUg7QTbZePUv2+mmju1/Ztuf4ZKnD4YCocEpFqseLMnrEMRIE1UiTRKpIYnN9dUCTIxcCSgWhnwYCYghpAYJoLcng3R1RbTJXmlmCZoAlBLQTNBqcKOECNBaYHGjjlYuUUsUepIcenwDjSRFnpm5TSYawslxaVjvDJfG9WBZJrCbeOkRwSU5EJYMlsDvTozZ3cuKaItERER0wrbn9gG1Qpapiq0v6mtbRmwfF6kIhIwYOYgBVWNTbywo+t7xeRxFVkUYdMoCePS/O8+Nv/zqLMw4ta8k5c0S4B67Lwrq11ifmFAAVOD8GuG0EG7iC9crIGkVxJDIUEh12f+DEnJspEFdfRWX7aEt6ePrkNj/lBXHG/rfWQ6dHeIIF50U2Sb+O3uNOhE7EcNDtEVGjkiaRKwwOJkjU0vDOqets1vVw7urmciAIpXQOb67ZQkMhl0/0Z6ZEKJUqGoZ97Ey48cPnwMAOHCP8+zMbY0tS6L4NN/gPPgMEwZAhJ/edfrgO7EsSUhQeMIkZ0OY5E7g0kITYPfj9wXgTUfMx8PXtl+DNx0x35MUzrAhbSIxRM4QLUvKEEHVzatatA0wGSW++Jn7DjYrxh2yJU5IEzgzhoaqA6rXnC6XVULKaXuyNbqGN+G4bJO2AObIEo4KFIuuMi7hOhEREWsedC6QJOapzDuYXeJjIM0khfZ1IXIlPNHSyhL89tBzR7zfLW66EGACa0Ar4bwf5suSPITp00uHnzbifazMEBs8BwCY+OeNMFE0sEj3+O9MLZMEOQvkWhpyAwxJDGE9DwkpXLzjdwfdR7+uoV/VfHuaCZoJkjR6auaJXoB93IbSBCKCgp03NPlMk22/fx6eed85bfvY4tsXFbEfBMhEgQio1XLU0hxZLqFYILckCWBIOjCgNfkxtfmN5SxdEgXhoTVhoFFDQ6Sop7nPjOntaUHXzBgVQiNXEloTFJHpE4L9DQPPnTkLW19ks00EjKPDFhrkBFGvYTkRbZGIiIhuIG1qU4XPfiwByk0RbVeDgiX751P/vTbvnz9t5I7krS7ug65Z1QfnYLemkHPi++8A/P741csv4s7Z5n3zoTPytTT8fMferVGcG/fSpnZqtZZJFbpWkAxsi81rCeOJtZmdLFBIYAZKE0xW6dMum35mX1vdG8AUeqcgW4SUDUrOLfEQ2JWmRk4QlKxRCvbc4YS+MvNCANl6KwhkvQCTseIJISspBqdkQsH7oP2h8OS8Wdjpc33+PIvcdISUIX2SRnToLw+iLTJyxLMRsUJw3/dPMvUfUqN5qGqAqhOycYRsgkDeS8h7bHFyYcPv7UMckyEylokw+Q9LmARGQNE2lQgZh92Omo/djhqcaFkV8eMHz8Gd958FciSGYp+pAVW8nPakzwph7ijBFYKJwAlBpwKcmALzAODlv6wEF+UalClQM4MYaEIubUIM5JANhXRAQ6fFRNkJImckDUbSr5H0a6RLFGoLc/T8vYmevw2g/o8BpIsziBaXCrV1IyNI2+JmypEkxThx50A2GelSRroUSJYAtUVAzz+B3n8yaot1eTsi/OK7Jw3rejx4fZBJQkCcq0YPruDZUK+IiIg1Cy8dfTLqE1qQiTZOasGQUiORxikt7StNFJQ2ju9WLk2WgCb89tBzl4kw2ew6I+WkcxukQLb4t48ECJ/K7TbXz2mXgFoNsM6Gf8TOm/wfeigzggH2qVqD2qSxElJIhUbOEjlLnPbrDwza9sK8F69k4/GP5gQsznogiLHxhNew4cRFGF9rIRUaZGNHcm0yXHIt0FISyhIagkxAiRDdn/ZJMJKawoSJDdRqORJbVL7RMhJcjmQDANYE1lQQJmw+t4HN905qSysBlUn0D9SwaEkPFi/tQbOVoifNMKGnCWYy+8olVCbBiiBTI5xOgvH8B88a1vV47oxZUL0MXWOwYBtcg0iYjAKiLRIREdEJz3x+FrIJDLaObC/nRKaeZt7Lpm5VnQtfBZPNVGA8f9qsZSJMNu+bD5bsa3b6WhHh/b7yGL75F+Yb2cbVDL+fdQKeO3MWVE8YNIByQKM/92UCYMcT2jOBQqge2NqohrAIZbo80UBcEBWWSNFpsXNta4QMVhDeyXzJVtGuq6ui6s7fZrNDHKnh+iDNtqpWbtN9x5YAoTzIKkFwjpzvwmarun2E/jaWwK++PLxx+sQXZ/lsE8AGqOpImIwGoi0ycsRMk4gRYafj2plnN7H/uq/7TXD3w+eXJgJfQLsLfDHKyj4cdvv4fDzy9eGRJrt80k5kYaQAQoOkIEsY5CWpKIgwANBGnKwuGSh33n8WDnjLhUZGy2adQNuwSZcpweY8EWF42RMCnihhIpBgsDbZLO57k3lis0FyBeuVgGAGJEH1uHAGk1Xi8PC1J2CPj84z6hEZLNljrpdoaYiWArUUKDMMCSltMk8yhkgJOhhPoX+KVCHrBdhoEMFgSaDUFHj3xqwl2GQGJAOGRJFNGxFaqcHz5g9cNiziZOZh8+z5CvoWMSpw0cVDrRMREbFqYNo1l9jMSPOZVHFjf+mY7vfbrb5zQTGtMUEIBlkbwC1TNoOEUGSeaBjnta44uLe46UL87sNnDq/P37rY7gQgAbCVXiAfzQ8rq1RkIjhQYDBtdv0c/5k14cWPDpH5uYrggM1+ixte2B0pKdRFjprI0aTEFEIPvBOKCSmpYdWWWZrXoZhQlzkyLTEhaQIAJvcuRE0o/HVgAhqZkfkK5wBhC8EDbOS6gmwTh2fedw62+f55ICGQJIZccySHJzq0HUsEMDO0FmX/E1NHk8oVgjfvi8iNgngx7SSJQqYlljZryLLExrUUkl+syY+Vrb5zwbCIk80vnz+4gR6xzIi2SETE6oUtL+lDMlB8FplxKAPAUxd394u47A5OuCTDxIJ9hiAC5U8f9GcLdJtME/amwxaXzcfvThqeX2LaVy/zCh5uXyIzBIwpCF6R+iJAJ9aJEvhRQ+KEBePFz64eMtLPnj0L08/o89LfJYIjIAhgl+Xjhm5TpyYjwzm3RFZklniiIYjoZGEIE9LB0oComX5Wn7cRn75wFrY7uw9kpd1k06zrxomyy6vyYAKDuHQo+N/lPaNMljjSLZQDs8pxpWDVnY7rwxNfGJo42elzfcZf5JQ8cnMssdbx8iPaIiNHJE3WYOz6ifn+JtZNh9HhXz9riQd/Y0fXaP0qdj88mFRlcTNVqck6YOG9FT6azQZQFNuF+7LvR0KclOBu8JK8LmMY1W+KWpG92XORssjlfizz/ldC3HnfmYY4YW3l0mi5Hpp/dme7jMh+B1xsrq3NMIHWoGYOtFpAswVoDSQJqJVCKEYNAIiQTZDoVPhOtgDZ0jZThiGUKTBPmsGJgJYpWBBUT+InWJFx4WSzxctc0XiRF9sDATkiDWGiasJGhxB0YggW2WIkAwzZ0H58iNxkSGlp+g+iEnHy5g/O8+OoW50SCgyj+29aPYzQFQk9jIiJsS549uqrr+Jzn/scbrvtNgDAe97zHnzpS1/CWmut1XWbI488Etdee21p2e67744HH3zQf77qqqtwww034PHHH8fixYvx6quvtrU5bdo0/OEPfygtO/XUU3HxxRcv30FFRIwC9r/rBCgrg3X3/pcNuu60b11spBzdExvTsAlmV+AdQBHhz8YgIHBJKqmkSeE36mz0bH7jRV2LeIcIiQ6zABCp9gSNkfty/QsCFiyB4vpGxCXiZrPr56w2xMlhWz6Ebz2/B3RK6BEZXpXj8c/WOOjASNNM0CQwkA/9CHPVrte2Lfvg/f8JzYSazNGbZGjlCZTNKEmEhrQZJY4kIzL1R5STia2MA5lo1GsZtBY+O4WIfZF3A0OcSGmKymlt26HAQeZg65C4Au6+3g4BRNpkqliyJcskMlvTxBCAxpQS0tRVSdPc9MvWZQlJvmnfutjbQy99LLDZwt9VQEz+ftbqYe+uSKwMtkhERERnbDm3DyzNDW8oAmKL+fNBNlNUy+KZcjjY4rL5EOF9n2BqRgmgk3wRuXuyrfFKgkuZKK6pzS+fPyzpLFKB3WRvN6JJ3rHua0i4WBQGZIsC2UZb78rJMCU8ov2vCnj6IkOcADYDA4YMk/Z8awFwas6XbAzd3guntJME287uKwgTdz0tKabGaegeDWoKODUUkZti9U6KvAqW8NJirbUsIQN4HxbCa062xK271pVsGvdfy/LnYmfl/zotf6Ycpf357Bg7vnf+zz48foU5J04mHSgHJGt7fmuLGbJlglNlA8NW8IjojmiLjBzEvHpVeVm0aBEmT56MhQsXYtKkSSu6Oysldvv4/OLZ30+65FMRO/kFXK2g6nbhDbT+KpdvyigzzG6yLeqSUCmLxBeDr97cQ3QhajqRKo/+9wkmy4RRZDi4f4KKVERZHLfPPHC1KVx9Co3OE4rF6kKevG2vC20WBRXXCMH5s4RCtyLwg2HfA+dCZBqykYMaOaiVg1oZ0GgCjSZYKUAQqF4HenvA43ugJvYgm5hC9Qhk4yzxYSd4kTFkZogOkWtQpu31K7KEdCqg6gK6LqATgk7IG6WGaLHXN7e1VjT7Y9YJgVNbl4UCEiS4ZZoxYskWN9YtYaJTYaMubLQoFwRhOF5D4sRlm5TSfnn1LgI/lvds1/ZFD++LngmDO9gaS3Kc8aa7xmzuOPjgg/HHP/4RV111FQDgk5/8JKZNm4Yf/OAHXbc58sgj8de//hXXXHONX1ar1bD22mv7z5dffjkaDWOxn3766V1Jk0984hM4+uij/bIJEyZgwoQJo3FoEV0Q7ZHBcfaTh+KZxRvglWavJ03+/NpkaEXQufDOYQBlQ0EToKnI1GDYZWaVnvX7fYSUVoUTu3L7blvOWnSPugtICwDeie0/B0EG1YLyL3zoLEz75sUQSeGMBwMiYZAIl3U2cEzfbIaLfbgmweUHbevQX13qnnzt2b3Rr+t4JR+PvzYn2awPoCZyjJNGxgsALtnpOyNu+/33fxo1kaNHZliS9eDvA+PRyFNkWqAmTQZLWHsks7JsuTKGsA4IK2YCA+ipZciVkW3j4DsAvti8tGNEaVtsPhjf4bgzsRbB+AqusyA2PEZVzstuE9ZKEVZqzhSbF77fqml1NtwYAgAmvHTEqb45H0Ec2uK0+mnZh1hTbJGINQ/RFhkcW8ybD04A0SBPmiQD1r5w0fnWf5iPK+7NrpaIi4J3WQOOPMkmGjIkXUReNokTNnUw6jbLxDnN2bQnssKWKZEbFTg5J9cvX9PZke1ueVLc51/6z5P8sbosCZP1QD5DwEX1++yBTn5TglViACDZZ6eYc2JWGW7Wy8qO6Wf0Fb4hS1a4jBydAE6184nL20mRoTDj9D6wtLJZPVyStlITFDhhUENAtISRw1LkJapMnQ/TjifTbOCxrhfXsfodAE+U+WsN+Bo55gOK6+9kuQKEY9K1XcrKYdj+lseSk35LLMmkaub7tL/YueohT6YAwA4n9qG2CEj7tVf0yMaLjrVuVxdEW2TlRMw0WYPwpiNsZonTF+TixsfElkknX8wyvEmGuoWhPNevvjQLu39svm2jfZ/hTbR4UYk8MSuaFws7cYdEh/vedWGYNN8uR/eZB0lHejjiRpInS0o6jcYPY9pPbLRebowJU7y8+75Wl6yTn9xbyIy8be+LQB2Yq5/cM3LCBADu+vGp2G//i801llTkheY5uNUCtzKwUiCxFFSrgcaPQ9I/HmJpL/LJdZBKoRPrhFBs65QYskRkusgQkQK6JqBTS5Sk5MkKkVtSTgd1R+x7PzZSY004gsX9ToQCrOcsMBBMVgkAwBEnim0Ekfb9LYrMc5FZVfm9tBEmqxWdvWKhQFBDpMYN9f3y4Le//S1uv/12PPjgg9h9990BAP/1X/+FmTNn4tlnn8U222zTddt6vY4NNtig6/fHH388AODuu+8etA8TJ04ctJ2IiNcLd7w4HX/K1gawHnpkBkE9WJqn6G+lxilMwW+xeh8MnLgk2Seo/uHok7HjD84xxbZd8Xa7nigRGgjem+211Wx0cl+lzI7S/gNnOVwNEkdgUFfjZNo35wIwxd5lqk3wgQCENFkm2mcwVI7XxS/YWiu+aHwuwLmw9liZPFldsk6O2eYe/37Wr/4N0p7bOmWoW0/BOdvftkxtf2/Pr+LDD3wKS7IetLREKhVyFpA2y0RbAkuQIbUSqaCkgNIKLSXbMkik0D6bw8Rt2OvpiA3JnggxL4IUITFTJuSAgnjTWni5Wrc9EAS0BGPOZa5oJk/QaC7yWDzxBgCaQNKkdbMqe8U2/8J844zzjpaxmxvXNKxoWyQiIqLA9DP7kE0EkMLc8+yt3SgGwGRRuEh7DqLpLViwcWRnhQP7t+fNwlYX95V8ItlkUzPEkQ1I2GdnUE6AIohMgDKz70J2FKXamt5BbQM9OSFPfpBmH83fTVVny0vnGx+QywKwmSLeCZ8FJBEqhJE9B0VQq5HcZk2FEz6wX7aYPx+/O2HV94s8fVHhwN/+lD7kvU4aHHCZGE/OGzlhAgBPzZmF6Wf1WakuMnJt0tYxSa3dJw3x5gIdlDRjhJSdmrnoi7LZP5QXxAUAIwELlMgQAIW/AUHgBsErsLj//pob14Z/79dzzVE4Puz5CX4zrr6KSoMxLYHWBIJQ7YoiM07rK+U6qB7Rtk7EsiHaIiNHJE1Wc8z8yLxCAiu4SQIdnu85YJqDIDd/k6USX1Iq5NSJha4SJloG2Syi+N7ty92PfXREKA/g/MzMhYZil31Xj8kdQ7eMl3LHy+2xBFibh02XBbPGISCvQlJlmSAsMZEIUC4B4S82wNpkmzABSgFZBmq2IBKJJBGAIOQ9VoZCsSFKFJsMk9zO+tJKYyXthElbyrO71sJRQ+QJPcD+ZgKCpG3MWafFz28+CW891ErKKDbtufHqInlQkDKAkdza88OGJJn5kXnt4zBiVKFZlORduq0DmCiMEPV6HfV6fbn2/8ADD2Dy5MmeMAGAPfbYA5MnT8b9998/KGly9913Y8qUKVhrrbWw995748ILL8SUKVNG3Ie5c+fi/PPPx8Ybb4wPfvCDOPnkk1Gr1YbeMCJiFPDsyxuiwdIa4SbDKSXjrA5rUzDgZbIKR3I4KXtjwPwj4KUjTYS80oYw0QHZISQXDaPsnO7krDZtMthKdpX6UCI0DMlCYMelF4wMEcgWGG9r19ozJNhnBvgsk6HsC2KQKGqEmahBa5iBQXL1NFA0EySxLQKvoEGYvf2ty9WmqZEigs/GAJakIWAkSh15wkwmO4RNJpLwxIQxKogYuSUeSsXeuRgSIiA83H+BzprRIRFCFV3YcLwKwaUMld8eei62/f55beaEK2DvsqFULqAaBFYCLx1xKqZ9w5B6074yz+qnF4Ed4bCOWH6MxBaJiIgYfWx/cp8vxB2CcjOX+noeuniG0wnKPhJHVFgpb8Cs88xs4xdhAXBiiGdO2RMlzvHNBENcK7L7Ce65VGQveLD/2qxv5xZXhtTVERUMoFU4azhhE2gROJoNQWIfahW87UEBeTLoM2kH/4tz2sOROqupY5tsQXXYQEsw8OT8ZSNMPJwpYscEyPgdtLKBDYIhMgHRKuTZgDKR5ckLUWQ8Vf0PnWJ6jG/OHlvoswva8xkqgT8tDHgumeSWQPntebMw47SiJkzYD233mzSK/oOAX35lFnY6vg8AsOMsk4HjvNSqDpDL3M2W8TxHlBBtkZEjkiZrECoBiR6hHiYpbv/eOpLJRt3/8oryBOGzOJzEFQpiwmRzBJkdoQSYI0ysw4F0QNh4B0eZtWan6QmUM1HajikwQJxT3LLivh8hQeIZm+A7CbAyupXG100+U6E0eVisLtkm3bDchAnstZC2NkjKQJqAeuogrQEiCBKGpdIMZDnQNEVbhWYkWkM0UnBCZpwqS5bYwu2QBJ0kljQhE4FDVBR5z8x6LjrH1R1xRd0LIs3N7mwifgjw4cxcOBTCucQTJ4Fh4PbNcG2TNyRdIftO0R5ArGMy2shYQA5hxWdsLsDGG29cWn7uuedi9uzZy7X/BQsWdCQ6pkyZggULFnTd7uCDD8YHP/hBbLrppnjxxRdx9tlnY7/99sNjjz02IiLnuOOOw84774w3vOENePjhh3H66afjxRdfxH//938v0/FERCwr/q4m4OVsHbzQWB+/W7Ie/tEYh0XNHrSyBK1cIs+kl+Yq5tmA+Ag8uKGcEADkSpTkiQAEtUvg26jWCGmbz73BEHzXKTKErMa3Jr8tWfkkQJbXtRDSOdrN/nUou9UB7OYc1wYxRMpgzWBFYC0K8sQ2svkNF+H3hy1bRujKiKZOoFlDCUJTJ+j7128vd5sJaWhiJCwwqdZErjPkWiBn4QkRZT8zExLJEGSKwjfyBAPNFM0s8YSf9uRXcV3B1ukBI8ml7RzULbMkJFhcm2QNYK8wa/fjiRCCr1cCmOL02938eb+ua7eW5hDCHEOuBFqp8fRNv2U20BofdARGW9/25aXPRFtkNDESWyQiImIMQcYfIDJAtMgTKSzZ1FJQBLhMjxymLoPLOnH+C5uJ8sxZFcc5mUwSygjJQkuou2dMR5oE7QDw9VRLtkDo1HbrOckjS3I4Z7fbhwMTTIH5JoFyFJLkCZt6GGyO2TvY3XZBDQvny/FZrXDEkvmopZUzc31wUlCWSNpi3nz87sTVxy+STQJCWazfXLKchAmMZJu/ptKalk0ClAQnAlzXUOM1WAokiwmJlQdzmU9u3BKbeiaiZftnyTXv00JwnZ3PS5isDw/nx3OSc1lgfgdjtZNkP7sMJounLi5qwpQCqRPTTE5mfWHHyk6f6/PjEUEfVI95/erLq884WhkQbZGRI1JIawAoICEAlB0BKEgJlwIavswK9r9GSWcQAN505PwOtUqKz6EUl2OvdZBpwiL4HJApbcF3gYHh9yNMNKB7lY+5cJBXmfOuERThOXLH4eS7ksr2IdMeYNf/mI9d/2N+lx1E3HXHqV46iyUBiQB66sDECaCJEyAmjDc1TaQAmMFZDmQZ0GxCLG5ALmlALm1BNDJQU4EyBVLKkC5A4bhi+DoloqmRDCgk/TmSpRmShrIF4W2oTnW8Vsafl+GqLrN48wcu88sGzXoCEEZlACgiewKsrITJXu+5FHu959IV3Y1lgmIxrBcAvPzyy1i4cKF/nX56d6mb2bNng4gGfT366KMAAOoQrsvMHZc7fPjDH8Y73/lObL/99nj3u9+NH/3oR3juuefwv//7vyM6/lmzZmHvvffGjjvuiP/4j//AlVdeiauvvhr//Oc/R9RORMTy4G9qAv6UrY0/ttbGK63x6M9TNPLU1osQ5bodHQITDIxxUiVMtvyfC7zTWuWGeNFKgBWZuia2TorORUA2kHEqKGFfZJb5cDj4GzvbKaMdgdFSyo4J1rBZBqboe3Akrv1uzVbX8yRP4FiptOGyFLb6zgWlwverMpo6QcYCuZbIR0mb4Vu7/zcagbcgEbqU8aSZfB0VIkM2CCvFVZMKtVSVCsaHKNfNgZfscmPIkRlCFC8pGIlUSKSCENrWQDF9EsSeZCtqoJCXlnM/ly3/p3y9qxkrqfNOuGNy4cw1bRxfNW106hMGJOOlY1dOW2SHE/qwwwl9K7oby4SR2CIRERGjD53CSy/LpnmJDL7eg06MI1snhjxxBc/NM6K5p/rskhrj+dPLfpGtL7D3JkWQTeetti+3vfO55CbbhHL7CmqjhK9wmUfo33A+GKCwn0TZbAhlmXyipQvYCx3jFGwXBpJUg0z8cVDHz25fW1w2H1tctnr4RcLz16ZesYx4ZvYsL6Vl6qWYMSFaBNEkiAEJyggszHhkCThJLtkE5ACQDJhi9LIZECbehkXJZ+XICEe8lPx9djy48QY4og1mPCXmpe2r8MfBZ7MQA9uea38DnXx6YZBokC0DlP2HztQTLeDpC5efnBorbDm3D1vOXfXskWiLjBwx02Q1xwM3moeePf59PsA25ZODCElZ3OyAgkAxH+BvZsTAY//V+aal6qb+g8i5pHWoZVFsvZsUlgMDhmHXADt2nEr30mITck4Ed4Nu92SEhe3dfF7KLulCehTbF9uWnBxkjRpVLg4/3DorqyRGWZvhrjuMs2u//S+GqEl7HhmikUEsaYKWLAX6B8CNJrjRBJYsBUkJSAFKU4haCqQpkEggSYA0ASdmljVF3TWkMxIYIKUhGgqilZvskp4UOnWDoRhoLvOkuJYEnZg0WRNtVIzGMIMEAN78wXmAJD9ueYjxBay85EgVqypREoJROMAGWwcAJk2aNOyCZ5/5zGfwb//2b4OuM23aNPz617/GX//617bv/v73v2P99dcf1r4AYOrUqdh0003x/PPPD3ubTthjjz0AAC+88ALWWWed5WorImI42GbjP2MbAJc8fbA3xFtaoi5zDFAaROdbJ3RILrs6DnZht2LnKhdQzaSQOwgRkgxVw8Kv4xwc1agSlKI5i76F6wXNMHkpJCIGCYCEtnJKZsWhMkzauubWs9uxFuCM/JMqEcCKjB3laqCsJliS9eAfKkHSplmyfPjenl8FABz6i2OhmdDSEs08QR48KAor2ZUEBAZSYFK9gZaSaOQpmnmCZpZA2wLvxmRinxjFwTUyReFVm1kVync5GLk5+N9GmM0CouJ3oclnm2x2/RwANfSObwb7M2Sdslk0QLnOj5O3W9mxw4mrnmOiipHYIhEREaMPV6Nim/PN/SRZak0CCUAZwkTVNEgSKANIwmeBuILpzqH87DldnLlMpl22DmeCLzDvvveqGh1tEfPPyCVahHETgWySyMtOab9PtlH8dj+anDOcfCFzYZ3rpRoW4e2HgkZd10Ro7KBUM9b1GUzglEHa1OlYXeBMg9Guq/H0BWYcbXd2H5ziCREAReAcnixhydAJ+SLrLhOEAU9e+DHlbF0AyAMfmD8Y8/LX25JowtW7gb2Wytoxohgr7lx46S67f5+JBfv76gGSfrufIGPKyNaZ9nRa7O+pi1deciTEFvPmm6ywVRjRFhk5IoW0huDB607AQ986wbK41BZN4CWKhvn72O2o+dj1E/N9rRKHatZJKWLBwj5Ptmkk+kAGKm9bckZUSY8KoWEyW4LaKd0IkoB0MZJLQV+Cfbn0RZ8hI127NOxztapiWQu+DxdGIsvUHjESboYYARGgTX0TzjNwnkG7QvEDA9BL+8H9A0CzBeQ5oFx4EABb60S0FERLGwmv0M9ixxxphlCmMLxQ7K+9i27QnuyjYkxXxtF93z+pjSz7+c0nlY/R/d7s78uprDx4/apBmHTCW9+76pEoYxVRse6662Lbbbcd9NXT04OZM2di4cKFePjhh/22Dz30EBYuXIg999xz2Pv75z//iZdffhlTp04dcV9D/PKXvwSA5W4nImKkOGX6j3D+Djfj+UXrYnGzB5mWPloeQJtkVjVavupY3vyGi7D5jReZyHtFYC+pWLTRHnlRQTXFNpj7Sy9CYDRwyQ4pinwHtStEQZgUmQIoapgEaMtQ4c4vn21goxEpI5AtDM+ZALekzaQJin6v4vjOnlegJpXJ/hgjw6vI6GD/PgmMhzALRcB8Ny7JMC5toTfNUA/kr0y9GkNMeGIjkIgrZ52YZWQzWdwrRFEw3lxTR7i5sfDcB8421zx4iH/6vbORSBXs30qEWWLH4alDZo/aOXy98a+fXfVIlBjdGRGxcuDZs2fh2bNnmdoKHBT31rAZp+Yz5ZYsyS3p0IW73/qCPp9lIuy6odQVEPowOhMJVf+JWYhSjRVP2jh1EG3IERHIbLnsFPOhcHiLQNrJmTv+dtPJv0KmHov3FQX98uaSq5FS6b+vDbMa4bmzZiGbzMgmWamuUQZxkflUuubuXFLn8SHCcVHxa3mpraDWiX8F46BqM7t1hCrGc/jygcNBUPQzn59VjDuLp+bMapN/c9kr7r9OVx3CpAp3nla1bJNoi4wcMdNkDYNnenUxubG0jmG4m3LhRAbQlsmx6yfmmyyMhLxBYNjiMnnSifTwE7r7zjLhfg8UTOBc+D58E+7m7j6KgvApHWcHosRPCq5vxS49S185dJ+NIxgmLVEDbFn3QGLc98v1fZej+7pm5qxKGEvi5K47TsV++18MsjVJOBXQ4+sQzCBmCGboBkxxeMAXiScSQJ6DBYGEIVkIACkG5zmstwKcCOhaYmqbpAKsBShTEAOZab+loRMBTgiyJpD1CjCRidABfKaTT6MOojLu+74lR/wYLUaNI07e8v7LSvVS3Pou+2tVwN7vvrSwy4KMtLceelkbQbQyYzjOtrFyxgHAdttth4MOOghHH300vva1rwEAPvnJT+Jd73pXqQj8tttuizlz5uDQQw/FkiVLMHv2bLz//e/H1KlT8dJLL+GMM87Auuuui0MPPdRvs2DBAixYsAAvvPACAODJJ5/ExIkTsckmm2DttdfGAw88gAcffBD77rsvJk+ejEceeQSzZs3Ce97zHmyyySZjdswREYPhj/98AwBg4vgGslxCKyOnFUbIVQmSKja7bg5MGSyCzkxqKCXWyOggJVFC8MDZcbl/4qx8TUUWh4/6D7YlS6aQnTzcMWif8tqhvor7aN93Ou5SHRbbBmkyx5wD5AI5atpkTdrMg2nfnIuXPrZqZBIMBpcVMha4+c1fwcH3HoeWkj4bg5mgie1/8pJaAEpZJzWpTDaKMNkozVxCawEV1tSpwNUZcUSMI0zC7BNpPSHMAoIYmZaeMDHtAtCE3324e625J951PgBTt6TT2Hr6vbOX+Zy93tj+lD7/3CCUkSIBgN0/Nh8PfXPV0Tpf0bZIREREGTox95TGWvDBEiJ3JAkVNT86OZcttjm/z5sKoTO4CKvvsGOqtNnBJuFQgSNwjFfJCCc3hiQgatiSJK69oMYFCwB5cbylOI5SX62zIyR+RHFMzkkvssIX43w7ZPvl6lxsdXEfnj9t1feL/P64sZtvnr5gFqaf2VcoXJCZ66UCOCvqooYIg39LJBjsNeBivJSSqJ0/y0nNpeVtgcKX5vwgLGBIRSsR5oOTuci6ItvvcBy52i8zTu9DPg5+PdhMKpf9tSpgq4v7IEs1F+H9RlvMn4/fnbBq2CPRFhk5IoW0BmGPj87zOoZtv4MgsoCJis8V7PoJo0vpiru7dVgUGoe6Uv+jNBGHLHb4vvPuBkWo4xlGQQwqjRSw516T0jHtQb9KGo8ojsO33YEwcW27zJudj1m1WOcVDiLoVILrKVCvg3p7QLUUIk1AUvoXwtRgrU2mSa6ALAe1TJ0TKAXnmWIpoGvSECipNHc9xaBMQ2QmI0U0NZKmhsy4FLFDLtLIydpVuxyMg8H8e26srWqESUeMslzb6wEFMazXWOL666/HDjvsgAMPPBAHHnggdtxxR3zrW98qrfPss89i4cKFAAApJZ588kkccsgh2HrrrXHEEUdg6623xgMPPICJEyf6ba688kq88Y1vxNFHHw0A2GuvvfDGN74Rt912GwCgXq/jpptuwj777IPp06fjnHPOwdFHH40bb7xxTI83IqIb3nnv57Dl+n/Hluv/HVkuSwWrw8yNcsRjuY3NrpsDAD7DxHhTg4f7Ttt3sg2GuJ21ZZAM0sduZAfrwkgJCZPyisWy9hoZXTrpWf3ikF1NFp0TVMs8YU+75pLBDzKi9HDIbLIxwlduo+7YPmiGL8Bkn6RSoSYVpNRIE4VEaiRSlzJO/Podx0rxcjVU3HTrCJOuRGInOzs4HtdXl52yShEmJxtbmp3zxka61pYMTqqujFgZbJGIiAiDGaf3IRsPZOMBTthIMrtaIl6ZoOIvCCL0gULmy8lb6ZR97ROPcI6G8yW4D8ErCNDzGSahX8KRJkHWgGvfFQQHUNSlCOtauD460iSsg1INDqn6aqrzClX+h30LMmDc9iI3K64utU3GFAHxBKAYCwqlbCcfzIlgPXQYr0EbbbvSdiy5V0UBBhU/m1/u+tlhqtJJ5+VhP8lKgOl01SNMPKzdr61sGierlj0SbZGRI2aarKFwwQ9VuOj6UMfOZZpUCZPwptgpXbBELIT7CPuBYHKoRF2U/gcblCIiKpERpSyUipGCyuTi56Tq91WDJfwuPGdB/wqnOkEIhrJZNzt/qg8g4PErVq5JYa9Dyg7xe289edT3sf8+F3X+wnoBfnrX6f6zT+cFoGsJRG8dlGUgpcANgJwElyBb30SajBMhrJdBAwr2vV1u1+eETH2dxLwoZz+mTeQEg2yNmk4RPJ3wlvddZvsOPzbu+/5JZnkwRsLMpfv/Z8USJqGUxa++NPh47EqYrKJYGSIq1l57bVx33XWDrsMBMdfb24s77rhjyHZnz56N2bNnd/1+5513xoMPPjjsfkZEvJ5QrpB18PujgAgowS4zdRsM2BVuDzNAfDRHNwez+36IznUgWSi4qXclM9yuB8l2KW1bffClQdoOH36J7fzJpWKspXXt8mlXXQrkhJc+vXJlCE77xtzS57Gor3HwvcchsXVJakJhXNLEBNmCshf3qztfBx0QJX6+cBk9NtNECg0hVMe5wpFqUjAAZTNW7D1dC2gUklxaCxAVhedNNku5PQn3XSGrpXPhpb8ctrjpQrtvI+pFkvH7j5yBrb5zQdEvURSQV0x47v1nj+4JHiG2vrCwRZ47c3BbxBEmoa3tdPqH/P2uhFgZbJGIiIh26BQQLSoXyXYkQFCAnVTh/9h2dp+JukdImNj1Q0cLcUH66sAuCMgFT6yE+6v6ISqOcl8vRZS39+tX/CVeBSRYv+QrCdr23fcdh3+xlV0IY1S6kSrmXLHfz5aXzgflhOdPX7n8Ilte0ucLqwNj48zfvG++l9ly0m/JgMkIAoxEFakiol2LYCy4899t7qv4wxCsTtTu6oJtWwRjW9vlQDAuqDQ8S+Mo9NFtd06fudZJUfPlubNmYesL+vz4EEngMwPw2/NX7BjYdnafzxJ57qzB+7LlXJNN5vrufaDCPBOsakpW0RYZOSJpsibBZZAAJYe/rjgGuPwRRrbLPsBJKrPIweTrlvntbfth0fbufQvWqUz07L53/anerIP2GcV+Ou2vjZWvkC9ucnB++NCY8Mx90Faxf7ZZCQxic75USuCV7Bfmi3pX7oOuTsXPbxl98mQwFOSFqUUCxSBlLYY0BeU2r9eRJkS+KDwseeLfe1kuCaQSnEqoukQ2IUE2jkzxNLZ1TDIUsmCSoFMg6yXoGvmiZjJjnzkkrBFtIjwCJiQgTTyRYmGMTcb931nxTqqdPtdXveQjBmng3h+8vuNjtJCxhOiU11xaZzUT342IWEkhiL0xrrQo1XgAEMzHhVPZgagopu4kq0h2+e12uun5SAkq7t8lO8A4BwqZrbIhUa250vG7yvuRwJMyQ2zuC3PCGHHOiQENW9eFisybpgDylevhZ9o353Y8hy4r5qWjTnld++PqmaTWg5ALgVxJZCwguDwWmMnI3gfj0BXUNAQGgcAwShY2O4QJWhtiQ2sgVwJCGFkvt40b/4nU0EzItESupCFyXM0aYca7kMYALernFAarI0wcXG2b5z6wYskSwEZlL4dzwWWz/+YrK5fDbbiItkhExEoELpzGokkQmfnsZYnCrBOgFIkf/oyZDGHi60+owt9g2qIiSBSF76Dkr9BFf6hSFwIw8z0ngAoKavv2w3ZCp3ZImqBY1uk8+P5QpZ9kiB7j6+E2EkY4J7g7R0Fmgi8yL4N9rGS2yGZfnodkibCy88alABhJSKCQlnrdwIZEYWnOpRtzri5NmGlUDeh1gc+uHR8gbBcW9Vphr2tByrjC8n7cWMk3X8tXw58jloGPLhxnwXYAsM155fnejYMVTZYAwPSz+kbsBXfjXNcAXSsM2N8fv2pIcoWItsjIsZK5dCPGArsfbtMhg4nVoSqh1YGoNpuFtRkGme9CJrvKTrdN3Hb/HCwbiZ/Btx+QF23RDm7dKlkS9MH7KHQxKQEwER3BCXFGjUmJ5LKREYJN1KdQDGWlpHb+z76VK9skOAdjRiT7aF5uX+a6YYk8F3lDWoMyBWrmpsg7YEgSCmbdkDBJrIUjBCAFWBIgDWFiJLkEVEpQNYKqG6OP2GnUWgeIMKSJqpnz4SI+pCvEVho7XPlcPebCQAaAX3zn9c8u2en4vtLnJy43484FCw0XbZlaqzBiREVExIrHTv/vbKw9rh9r9yjUoPCr/9sIMrU1q5j8nNpN6qojRvKzDY2Njtu3EyUdC7RXvuu4frfuLzd77f7bp+FQTtXZJIrsnGgmMJbsHRWbfWkeXvzsSiYTGciWjYX6YyNPfCH53Ept5br9YTERGrktkp6SQioUErteQrqr/JoG+UyVsOB7NxjejsDMwfgqMkgEGIptwXd7mWWqoPw5Yv+fgvGqdfv5c+0//8GzBu/UGMAVRXbwkZzDIAWrcFHPq/o0HW2RiIgVj52O74NoAWIcgBzIJtqgOPec73wT4eOrdZj6TAFLCGgyTlTSgMiMHVNSLCAUjuPQ9AiIkhAuWh92/+T48C5khyc6wuXB+iUFDreNO77qc6G9z1K4v8Cxw8Jml1Cw77AfHLSLyvFV+r/1RX147oyVxy/iiq+LpiGu9Bh4SN2YMaSH8Uno1JIVFrpmsl0oN8PGkRBu3HU7n0AxT5YUVtw2of/O1zQGyJlCjpAJx4soiA5/PYNjCdcrPsD/Pqp9YlHUPnk9scOJfdA16+eBKVgPWMJomNc5DOoGMXS6ajtHoi0yckTSZE1BJXJAS1vIPUijA1AmAtwEaCd8r4MZ/Iba6pbYfYUTeMcHSLtNKOvV0SioECGhRibbAlJhn0tO7mHcz/z2odPBLa8QJs5gEoq9pqRQFSd6aGS4fg5O5K4YVAy3sbgvsiAzSWsqSKbK/n/209MAAPsdcDF0TYDyBMkSMqSJFICs28bYZJswA4kE0hRcS01GSSLAtvA7JwQWZOuYCOTjBPJxZF51Y5wUUQ9UGttgQDYL0kTkQLpU+4yUkjei4uFxBsN931vxWSVV7HRcX9nQWgas6vMms4AeIneWV7Xc2oiIVRCNPMUrtogzM6CVvYdq8hHxITrW92CUCnN3jPbo9DlcudO8bZc7eS+qNNAte2REWSWDPPC2rVddh0yfGDDSCgSTWaLZECWA8eDkME75BCBZzL0rVYQnBQfoiJ5lcKYPB0uadWgQJDFqSY7xacs/DP6zYaqS3rH35QCAN995KjSTLfKeY2Kt6dsJHzJzLZBp6SW9nElgZLjKD6NEpmg8Cx0sK7JbqmRMS5k6P7kS0JbESRINmeiCXAQAKtdGEYGO/jPvO2c5ztjooMoxbXtun4l/ESMwR4Kf61jZqq8nxsIWueKKK3DFFVfgpZdeAgDMmDED55xzDg4++OC2dY855hhcddVV6Ovrw/HHHz9ou6+99hrOPPNMfP/738err76KzTbbDPPmzcM73vEOAMC9996LSy+9FI899hj+8pe/4Oabb8Z73/veEfU9ImJFQaeB45eN41pk5pnd+xeAwj/gCqlbJ7Ir9q5tsXYxQKVaEg6+fggVj5Edg9icL8RG9Lt+dXSOB/VVqtuHQakd51NHeATdDLNWvF/EH0CxWfjGZZJUa54IZY7BP1fDkgMJe8d5KAm1oiGa1ga115Mnoyh6Ptr7yghoGV8DaTMGdQq0JsM74X97nnHoTz+jr5DPqvjl/MULybLQtKXK2LBfOL9bSIZ432A4N7u2w2ts1xM5oMKxFRAiAHwgsiOdVgoZtortMP3MPp+5NWyb0x0j2XHSuxIN4mXAWNgieZ5j9uzZuP7667FgwQJMnToVRx55JM466ywI0b2te+65ByeccAKeeuopbLjhhjjllFPwqU99quO63/72t/GRj3wEhxxyCG655ZYR9W95MWqkyZw5c/D9738fzzzzDHp7e7Hnnnti7ty52Gabbfw6Rx55JK699trSdrvvvntJb73ZbOKkk07CjTfeiIGBAey///746le/io022mi0urrGIMwwKdUfAXy6ZLi8Y2BnQGi0ESQVsoOryxwqv5NS2mgg7VVq13bUR2JU2e1uDo/gIAcLVA3TWf0NH5238Vksuvqf29IjPUFSIU9WFtx7WyGvFEp1uePe65BL2x5Kl1mySwBMBBIM1tTmgNrvgIt9pomra0KCkI9PIYkgGokp6p4rk3VCZIiUWg3ck4LrqSkcnxiSxJAlZI0BgrYZJk7OwacIV8aaey9sITTpSJOMITIG5eyvbWgUAACYDTlkP7/5A4VE1y+++/oTKD7LZAjH3BuPNev9sovExT0/OBl7v7t9LLz1vZe+7hJuowEF8vr1g60Tseoj2iIrH3b+4VlQlhDJlUADqf+OXfj4cObJyjqeOFneOdY/ELqnTi761o2QGUV0zKrpdjvyxIk1YqwypXfIBPUeSFNxDx8iS/j1xkuHn+bfT/vmxV4X3nVy2jcvLm9A5W1GgmaegJkghKkj0hJmZwO5GYe7/egMv64UpqZJzoYkUSxsQXZDfDhpOcXCSmeRrV9i+h1Kz5W6T+xlP8iTJd377Aq2hz4zM0TZLyAAQlQ9IwY73HYuAHMMTx0yexhnaXSxzXnlYI1u9rgrovzs2Z1tkd9cMgszTu1rc+RNP6NvlSog6zAWtshGG22Eiy++GFtuuSUA4Nprr8UhhxyCX/7yl5gxY4Zf75ZbbsFDDz2EDTfccMg2W60WDjjgAEyZMgXf/e53sdFGG+Hll1/GxIkT/TpLly7FTjvthKOOOgrvf//7R9TnNQHRFln5sPMxfcZRamXGnWNZ5IVfgALCxPsrOhEU7m0XH4FpoHDAO0lNI6tZfD9chIGvHbMJqn3u0L6/JQdtFRt2JlI6EShw9oaurBvuKzxfAiArGcqSvZzlyoDfnVhIK037yjyIFvmi3rJB2GL+fEAD0pIrIgOemb1sc48/J9Zm0wmg6uyXb32RqbEhG1YmjAG4ujph5kbFd+dVW5xvjYv33j8nilfJ39bF9+fHGLcvd/DEXLheZbttzjNzvMhWjCzXDidaW8SeM0fYEduaMfa8DmWLPH/6rFIh+NB+m3blZXjpUytf0OxgGAtbZO7cubjyyitx7bXXYsaMGXj00Udx1FFHYfLkyTjuuOM6bvPiiy/iHe94B44++mhcd911+MUvfoFPf/rTWG+99drsij/84Q846aST8Na3vnVE/RotjBppcs899+DYY4/FbrvthjzPceaZZ+LAAw/E008/jfHjx/v1DjroIFxzzTX+c61WK7Vz/PHH4wc/+AG+/e1vY5111sGJJ56Id73rXXjssccg5coYsr9yYveP2aLtonxTE8pqGlptq1IqXpUgQUCIBDdfv9xu05EsqWzjI/qrZEmnNl0TbG78pVoiqlifADNhB0aNaajDjb7UcHHMIaPeLrMVGEM2U8JlnIhgEgtlnpzD3p93v5OVH/feerKvbTKaCIkTR6QYmSz3PUzBdjuWuDcBS4FEEsSShikCb6W4uLcGPb6OfFwK1SOgUyqk4yz5AsCmvJrskryHPGnSdv/nQj82aQLJUqC+yAy2dImCbJn3OhHgxFxjQ+Sxz0Dx+q2CTNTvckSnvOnI+f79w99YRo3M6m/GLa7+lgHs/CljADx+ZXdDxqvNrMKJGJqHTjPVq8jvNGJwRFtk5cKMW2ejnppbs9aEZp5gaVMgy4z5aQq525U7/ER9DRM3X1Qi+DvBb9PRceAm/MpGpQdD6ry86wZuu2o7nbesZsgMW4rM7znIsgFbDQcCEgIUmUhVdnMVFZrYK4+foozSdWK89LHTyqTJcvbbjRmtBRY36si0gCQ2CawsSnVylCrmCkOMCNQSBSk0mBkKQKYlWrlEpqWtxVN0MIwmdpkkIaQlXoBwP4YgccSi1ma/SltPiCi2QUCkSKmRSGWccWy2c20ur6zC1t87379flsLxnssM7fvKc4KXGwG8M+L50zrYIiVP3ko8joeBsbBF3v3ud5c+X3jhhbjiiivw4IMPetLkT3/6Ez7zmc/gjjvuwDvf+c4h2/z617+OV155Bffffz/S1JCLm266aWmdgw8+uGM2S4RBtEVWLuzySeM8dfcdJuMD4cRIMpH1iYR+ChYAp2if7p0vIIPN7DSLvYRXsL43RULfR1W5I5wDq45pRvl52d0PReEjASp+FdtmpyDTtmfhCjnSRqRw+X81KLVNJcSSL67QOFTRN21lsCFGeJN7nSAygsgKic0XTj7BFAB30lXLWeKBCeCEwWQKwDtJN5flJFqwvoZg3Dg/hQ2IYRn0w2YlOVKERWWMlA4O5WDpLpcgJOdQHXfCqtNU5eaq199tZ6+7U/BYFmx/ckFU/ObS7r6KbmABqB6T0ePk9Px5s+dLZEWfhyJPSBuS1Q+F5qrpHBkLW+SBBx7AIYcc4m2MadOm4cYbb8Sjjz7adZsrr7wSm2yyCS6//HIAwHbbbYdHH30Ul112WYk0UUrhox/9KD7/+c/j5z//OV577bWRdW4UMGqkye233176fM0112DKlCl47LHHsNdee/nl9XodG2ywQcc2Fi5ciKuvvhrf+ta38La3vQ0AcN1112HjjTfGT37yE7z97W8fre6u1njTEfPN/VIGN1AAjn02jn/32GUIARfxXyUzSpNht99WdcKk8vKwrVLR+OrDlMNozaWdJo3qKs6R0Mn/0WnbwciYYL+r1EMdlzNQqtjrkIJIuffW9vX2O+DitmU/u/M0QyKRe3i2xAm5YnI2ApbZTsxcDBvNhihRbAq71+1tSgjo3hSqN4EaJ20WCbXJnznyRKUof2+Ny9CX5oxkkRkN0XSAkTTMVOiyTDixhI4jZ1AYMobYs1EiCYAg62Qo7PHReaZbtu7NQ98qkySOQBkuebLTcWaipzAqJXA0ENk0cvd5iMzSTiQmAE+srUoZJ3oYaahDfR+xaiDaIisPNr/hIvSON9klALxsEbOZD4hgZBzszaaNPKg4S8EFITIY0bBMRdi7btJlP4PZQ+5ttz6GZMlwuxo01e08sUaReaJhMjwZxaS3kjoqQhLpxX8/vet60755sT9fnbJO9vrpyUiFQk0qCHvC/nevL6KWmvpoWS6hlSEkIDUEGJK0j3oNs0UcXL0SrQpDw42vVCi/bZXMM9kpKLVnsk10qR3NBGgB5U4AChkwJ1dHNtPFZZ648S+FhhQckD4aCIiT4SLMSgHQlpmyzffPAwA8O0zJL59lEtr4xeEVzjyLISVsQ4eiHeMAMOO0PoCBp+aO3JGyojASW2TRokWl5fV6HfV6fdBtlVL4zne+g6VLl2LmzJmmPa1x+OGH4+STTy5lngyG2267DTNnzsSxxx6LW2+9Feuttx4OO+wwnHrqqdFRP0xEW2Tlwa6fmA9I8tHlqmblmpvGASqCoIJSJocOTJAO9Tk8yYJi29KzVcW/4Z9BA9Ik9I0MG8GzKAcO7NKtPyA5Sv1x3znnMQJ/B7cfTxthUiFiSBSfwwwYDkjxYjsCi0BOdCWDq2tCLSoIfCqc7a72yJaX9IGtPfW7k9qf0be+oM/IvwXn//nTZ4ETc+zEhRPfP7PboGBHjniiRsHXG3F+vPD8+6DkbkScWyccHx2IlTC4uWPgsRunAu0+rnA8hCTcCE3O6Wf1/X/23jvekqLMG/9WdZ9z7mSSwKA4gyBZUEAU9V3TirqGNeyaCYqISpCLZAlDHBlgDghGJIiA8nt1XfVVUXddXF0ECY4iKkEZll0dUYSJ995zuqt+f1Q91U9VV59w09yZOc/n0/eerq7c1VVPPd96nsdzJB9qpux9ZhNCAw8s7W3N32+4CV0vvhHqQ6qbkwdZAFKlhbWRGIkMFgwUwAhlav49p7kcMjNA26ZAU8GLvOxlL8PnPvc5PPTQQ9h9993xy1/+Ej/96U8dIBKjn/3sZzj00EO9sNe+9rW49tpr0W633aGN888/H894xjNw1FFH4Sc/+UkvTZx0mjKfJqtXrwYAbLPNNl747bffju233x5bbbUVXv7yl+Oiiy7C9ttvDwC499570W63vc7baaedsO++++KOO+6IMgdjY2MYGytsDocvdkugF37ACFedoNROjMqejHeaEjAC2Be+f7k7LQ/AaUjQRFjSAomsbZ5t4YCJKFbyIlijmISjwtiKkw3hqXnPEZuCNynThG9l8X7dvAKD+x4mdS2MeSmngcME8HxjGC5aQhsTXvd8cdOYRH/yr4W2SZ+HXz16xesuKYYDLdZWcq8FgMQ+pfeZG80NocwFrZHPTpEtqBstDzK5ldqrBqfRE5J7D4kw48GeCnDfho0ntAlPxoB0VCPdoFBbr5CMWvGFMqa3VCKgCKCxzISCwUdM/a1ARAEgADJCL3nn5f5Yq5Xj/PyGk3DwEcu9MXrwkct7A060OY0i22B+WOADJ7koM1YV9J/fOsWYcGN5bFJgICMF0VUdfCapiw9o8mi6eBFgwI8sum4ZABg/GgKQKdBqpZCJQiIV0kShkZr59b5/uBC7fvXiqM+SEBQINUeiYERf61W30xR+2bHwsH4d8wl5JMA6Wi2E6a5mTrUvZJTA4sSK0oaHs4uTgNGk0BBAoh1g8tgHTo3XdWNSsHkH4GmbCKmhxylkefV/nARgFgAgTRTG2imyPDHWPpPcgRi5ks4JPAAklunMtUQrT5AIjVpinMMLoZFKhVQqB85k1kRXzLkmmfWSQiO1+Rpn9NJqqxgH9e3MCKPb7RR5ZuoiE+PHxGmRaNMftTSHlL4mixDGXJfQZb8qnJ7/nbOdhoxJX2akHnr72Q4sIdr96xf0rnVCe4lIOABPMNJNuPLA0mE87+NNp+WtIuNlU6F+eJGdd97ZCz/33HOxZMmSaJr7778fhxxyCEZHRzF37lx84xvfwN577w3AmMxI0xQnnHBCz/X8wx/+gB/96Ed473vfi+9+97t4+OGHceyxxyLLMpxzzsb3l7Mp0oAXmT5yWvt2X4SG+d2eB2T21LlqANkc4KEzh/G8k4yjaBcfdi+Zmv+EdQvAs3gBwZZmHYAmohDKenIOJl/RViBfJfDmIAQLLigmO6HwMDLxTyr4HZKTX6A0N4vwdwSUKVkvSQJ5ggBUXeMPJ85AuQhp5jJ65NRh7HrZcqexAACy1T8/stulhSUJbbVwkjEUsjLN/OpIo5VDmk6qbrQ1nCmuxJfRxfwLx8YcyfqoDuYHi0OyLcDJT2g8kIYJH7tkfSWU1TmZQQJ0Wqv3PqvpfJ9YFrZEv77UmOjUaZH/805q4v7lPQAnrI6krUOyQsCYQXNyPXJ43+FA6UNnDWOvs01d1Kgs0lk506ZEU8GLnHbaaVi9ejX23HNPJEmCPM9x0UUX4d3vfndlGatWrcIOO+zghe2www7Isgx//etfsXDhQvzXf/0Xrr32WqxYsaK3xk0RTQloorXGSSedhJe97GXYd999XfjrX/96/PM//zMWLVqERx99FGeffTZe9apX4d5770Wj0cCqVatQr9ex9dZbe/ntsMMOWLVqVbSspUuX4rzzzpuKZsx4OvDophHKB+F8kiObnRTroA8uB6x5LmH9MXB0Ofr9dJAHaJiNmrbxPNzELtpkrqC0hgeygRCdds6nQtCEnrM0xJjQRO+Yh27rWlUcBu4UbbJ+OWjxEbAn3oRfFlsAqUkHfXD5JgGc/N2bLy3Z2Y5plxCRlokHFLixJ6KLMpniMi9Q2PelnUYKBKDSxPgkachCW0QUeXoaVFVEY4fZeLe4jVngLMCQjmqkIxrpiIJsKWduzbUhEcz0mmUqbDi0hqDToJoxJT0QnVgh528vOmy5Y4DCcfnC9xtm6+7ru4wh1k56J/d+0TAWBx213AJTKL77LvSf3zrFaBqxb3RTBE5yLZB3qXi35wPa9Gg6eRFgy+VHCCwJSeXSCmYlMgkkswshzu5fuwDK+pogjQsCDDr5KokBFNpjACIUPqsCRWLpwniVwEl1Nl6aACgpp9PsLw8uIoZpOIjCTU2Zck3fCguaLL7hEqw88rQOlZ0ZxLVKAEAkGo++t1oL5YXfOxOz6gb8QJI7kAJ5YRKrrSRSa9Iqsf5N6H8tydHOE+eEXUFAwoAjs2stzKq1MTttO9BDCuX8lygtS6CJ0v6GlPJyaZSJkyuJtpIGzLGgSd6WULk0YJE0fIZiJz4EjFaI1La9gGcmrBNgEiMai8S67PWN85Ar6Vups/nt+tWLAQC/f9eZ6InYt/fQJwwvsvvFzZJwsBvdf/kw9jup6fYGoTBxU6F+eJHHH38c8+fPd+GdtEz22GMPrFixAk8//TS+/vWv44gjjsCPf/xjjIyM4Morr8R9991nfAr0SEopbL/99vjCF76AJElw4IEH4o9//CMuvfTSAWgyDhrwItNDBx+53PcZYqm+TiNvANksgaRlhd92/njpP1+OdHsJlRkQRWsrABXF75KZKxR7Pa6N4Wn5C7YEM1kFgMLHWLhfDOUiYQPDPTWXN4SRY/OjDtghvjennxQWMTPm4gZgTSktRYvth22cXS9f7vkTmQkUA5F2v7AJURPQtaJxj5xaLbDf/cImdGJNONXgNEaMnExAZAxsIDNRwmqe2N9JG0hHjFaUTgzAl3OTWCSDisjRvAPNId/LZIOVYyyQZbn8A8AkjMPLDGV3/RBPs+e55rBEmlseRxamvsiH6y+vqH4Xro0E7OSmeb9eZtKQ6S9pTciR9k8n+u0Fw8aEV8V3sqnQVPAit956K2666Sbccsst2GeffbBixQqceOKJ2GmnnXDEEUdUlhPyJlprF7527Vq8733vwzXXXIPtttuup7ZNFU0JaHLcccfhV7/6FX7605964e985zvd73333RcHHXQQFi1ahO985zt429veVpmf1rqS2TvjjDNw0knFpLtmzZoSIrY5EwlzRW5gEfKxoaUwkwOb5KQ9fe4EwEL4iyD91D7oES3XLprCCb/95yWT4CRM5v/DstniXwJOGIMgWFye3h3Q1AywqAJ8uBA9XPxDgQSKvtCUQBrTT2ai1exkhQVQ6CSK6D4BbyzqZJIL6AyWvPpVSw1ogDJgouoSea0ww+VMcFkqnYQAINIESlmn69JodeQ1q+HBbXCydBxkCxcsrcx70RLQShR2PGncKmN+Kx0D0hGFZEQhGVMQuXLmsnQqkNckVF0a4CRB8cy+0ztv+njHPiT6P2+9DAkAmWkg11Y11+SVQULVRWncxbROOHH/JwAg5grb/8AvPl1mRO+5dvzM6aaOJ2Q6gVSdP8Rspn6oAxo3TScvAmzh/IiG0zCheyd1EACERmZNI+XMXBeYsNeA2tqf8+iRYI6zQwmB1m7t7mS6K6Y1wjU+YnH7kDNWAzodyi8i+g8M+MEz1yiZHfMWU8BolxTMGQEl7oSJmpkTeSUYors8B/DaH59owY/ZyJWEEhqZkhiqZZibjmHxnCexeOhJAMBf23Px59Z8rM/qyFTitD3o/6y0DaUFNrTraOcJpNCY1xjFs+Y8jW3rG5CKHEoLtHXi/mcqgYJAm60vHDAJHcS3VIpWnmA0SzGa1bChVcPIWB3ZWAJlQRPkhs/UMPxLDunGv7DhSglkKMrs1dn76//zY6jJORCC+1Ixz7Jc+n5R7Hf68D+fhT3+5XzDS0U+rcWfv8z8EBpiTCKtS3da86EzywKNWFgvxIVEm6KQAuiPF5k/f74nqOhE9XrdOYI/6KCDcPfdd+PKK6/EXnvthSeeeALPfvazXdw8z/Hxj38cV1xxBVauXBnNb+HChajVap4prr322gurVq1Cq9Uq+d0YUGca8CLTR1oCeUMgG7In93N7ojwpTu/LDEAGPOtHG7Bh4ZARxNbNyX8nYBVMlgCYfX9MbqEL35jc9wSR4NYImLBb0b7SXoosfnCNE9LIE0VxRb5F+a5KgTwmundTLK6LWPz3DrCC1Zm1t2S2KyTBZDCBjEVmFWDKDKCHzyivTapmNGMAdNSOee4nm87PjRizfjSGlDGLrQGdaOi6MqadMuHMdCG38rpcmL5JjHXyZMwAJ8jsmGJAh05R+CipALOqzOCTdhMBGx4xGQnl4TQxqHzpl0lO54UCUKv2BRLSPqc3nd8bVxc2zghwAow5PQD4zcXD2PfUpjGTFRl3+59ozHsp+00lVh6X5ObgRUjj8ZECwL0vgGSuxf2mQlPBi5xyyik4/fTT8a53vQsA8LznPQ+PPfYYli5dWgma7LjjjqUDAE888QTSNMW2226LBx54ACtXrvR8tyllBkaapnjwwQex6667dq3bZNCkgybHH388vvWtb+E///M/8axnPatj3IULF2LRokV4+OGHAZiOa7VaeOqpp7xTFU888QRe8pKXRPPoxcbrpkL7n9CstCMIACuuMh/3gR9qFupltKBqAa3IfFT8FHnsdLmTPQRlCrDwbvMALZyxBZjVn4AEd0qML8SsPh54Qou7DuKExNsg/LqX4ts2l8CXMJ9ORICIhMmMe0vSRTYCiG4yZyp1A1IA4NWvXMoWX+H5xFGpQNYQyGZJo3IpzEJSgF+WeSSGK6cxqCGkMBocAgakIGdonIHUkTHCf4O9W1qANRMWiaJco2lizYJpWGdq0p3kMc7fRaFVBJtXH1K0//PWy4yprERAthRkph2o6XO2fFAaOviI5aX8Xvj+5ZXaJsRc/OIz42MCqmhTB0wAQKO7GmpZZ29AmzJNNy8CbD78yC5XX27sNfNNV1rsrh47yph4Wvz5y6BTZWxaJ3Zy5ptrPsUp4cASIc0J/7xmHWkzYT6BJhwg8QATyk8XIIJwDAsBB37c6JQttAeMVAEaFN7NT0oImFT6aamK67AOv12VWiQhWfBJu6OArC2lY64zn1YeXvZZEtJb/+tYkJ1LMrM1K22751Jo/LU1F+vzBmbJNuakY9iuvg5zkhrGVIqRvI6WSqC0REslyJSEFBp1mSPT5vdW9RFsVRtBQ5h8FcqACWD8mxDR6TylZQGeQCBTRpNlNE/RVgnGshRjrRqyVgLVTqAz9h1YDRPH36P4NgBYk1299+c/3/ER+6uOuY0xaG2AntHMMmohsXH33P97IZRKIKV23+riL12ClUfENZZIwPT7k6oFTOMizttvojRdvIjWGmNjYzjssMOcLwyi1772tTjssMPw/ve/vzL9S1/6Utxyyy1QSkFKM28/9NBDWLhw4QAw6ZMGvMj46QUfbUK2rf8R+1nkjUJTn+QiL37v5YAQ1n+BQF63wmcB6BzgcpGkZfaAra2Av+4/G1s93ILMEoxuZaTBqmbMm6uaFU5b0lZ+4fmNtHtbDpg488gIwAXAczQPrR0QrbQxZ6qpHCqT5vhQXhIIvJ0sJyZTgT9vujBE4laAIE5eEgIlEYDFI12WM2kBiGzic9x00SOndd9TP6e5HIltvE6tKSt6P1IbkCQT5oHlrbWw4QCEMoCJYKCbqgFtCedHw8n9NPxDyERsDETNcPMx0IF3CMeRV4ZgzzmPH5HnVdE+pzd9Hptkfbooy8mMBDxzWfueaoApSLj+ff7xTTcPhESYwHjBkSryNM+0lXFtYua5poIX2bBhg+MXiJIkcSBHjA455BB8+9vf9sJ+8IMf4KCDDkKtVsOee+6J+++/33t+1llnYe3atbjyyiun9TDApIEmWmscf/zx+MY3voHbb78du+yyS9c0Tz75JB5//HEsXLgQAHDggQeiVqvhhz/8Id7xjncAAP70pz/h17/+NZYti5t/2Cypy6aAUGKapLjWhBZwwmaVFEzCfZ8fxgHHNIsT92GR2s/fmxgBf+Ktqlu4eFJSUfzXwg+LYSulkw4VIFJXipURqbun5h8BWHyNBu2lc6AVhAMFzEQvzKkUtmhtKia6OtGrXvNJIBVozUvRnivN+m+ZRC0FsiGBbDYcw0oncBxjqYQDLIQFLRyjyZlDWWiYaBm8tw6ASUiFrU3tqa+KHEgYYKKFBUkEnL8V9w0xDRXv1EYPJHKNZMyY/ZIto5+rU4Fsdup9h6QhRuU6p/ORcjwfJ6z99XUad924aY+vqaKYnflYnAFt+jTgRSaRaM6rciBeV0a7BAR0BKAJI5koKCXwyDvOwu5fvwCJ1GgMtaKABjc1FIIW3Bn2uE8kOD7EaugyAMWEx5ONt7gqoEOzRanKxFivwInW1nG4vSgN1/4hAcyiL16Kxz7Y/YDETKaX/dup2HluG+vadaxaOw9pojCvPuacrq9pNfCXkTnI8gQ5mdAUsM7TFVKhvHdO5rzq1pH8bNFGKnOkQuFvrTn4q57rgA9uisuZAYMxweU5kbcaJ5kyoEwrT9BWCdq5AUxGxmpojaZQYynQFhB8PAhrENY68BDsQCB9A/2AYGRubKv6CFAH1rSG8OTIHLTaxTaQtLSkjS+goZRw403lshhjMGb5HvvAqdCJMftpJDwGNHn0uN60cPuhqLnXTYymghc588wz8frXvx4777wz1q5di69+9au4/fbbcdttt2HbbbfFtttu68Wv1WrYcccdsccee7iwww8/HM985jOxdOlSAMBHPvIRXHXVVfjYxz6G448/Hg8//DAuvvhizy/KunXr8Mgjj7j7Rx99FCtWrMA222zjabZsqTTgRSaPkpY5nKcrpFZCAUlLIRk1WiaNpylcQ9WMOeW8ZjX8hdmDPnj2MA74SBO1tS3Un1JI1w9h5BkpWvMl2nOBbBacTxPSIJBtYx4oaRdOwwHaw+rClBcK2QL5u3QAijL74wQWnMkAkRoQXKVWrEBzHZ3yBworFroAb0zhgSyIyy1sXoLyjIAnVIBn2YN4v0BIXpKVUF5hMBemcwG+NPwIOdvec0kTv1syuQLt6aa9zm5CbA3MegJoz7Fjxvr/kGMCoiWMGW8SNmgUPLW2YElm+yQAwmLyNs9aCwOluFwwfCFRGRfJDNm66vklCU2hB/cxuUwvxB3eczmIlnDfN303njI1A0+47xQtjYbJL68YNlpmFuwUVqPpgUsmf3zJdjGGyafJeEyRbUyaCl7kTW96Ey666CI8+9nPxj777INf/OIXWL58OT7wgQ+4OGeccQb+93//FzfeeCMA4MMf/jCuvvpqnHTSSTj66KPxs5/9DNdeey2+8pWvAACGhoY8k5YAsNVWWwFAKXyqadJAk2OPPRa33HILvvnNb2LevHlO1WbBggWYNWsW1q1bhyVLluDtb387Fi5ciJUrV+LMM8/Edttth7e+9a0u7lFHHYWPf/zj2HbbbbHNNtvg5JNPxvOe97zSSZnNldzCxzfP9j9HU2mSpIlF5pqd2kcJYT7wQ81iwgtO7tM/z+JFDDhhG5WokDrcyHAUmh4FJw5EbAHvIAz3TplF6tUrVar2dwWsrINVFlXE0mnemZsXteemGFsg0Z4rmL1O4Wxy5o1i4YMGNANFhAJEAugMkGQiLtOQUngMmVuYA7AuBPcE+10SNmnGaIIJwjQ7EURpEqOpBaaN5cqPSdB6BU00IDIN2VYQbbOi6loKCOH8pQDwvl2z8GrnzF4lFcXFGNgBRUlpCdVFH7zb8wFtGjTgRSaBLMCtpZ1kUm1MPQXCUiQKMlVRE1SatB0EjCaKpb2+cZ4zK5JIjdwKZXkeblrTcVNbJbNePVDMubwMtFhkJWNAiYqfsc0EpQ+flUxtoWib1sLyEFVgSDldlJiwQ3Ohh3tODN3mQ0+MzMXjT26NrGUWydXJLCSpclonSklvaaT3nVgH6lLq0jtPhOoKroQkhXZO4cPnSgtk1pl8riVyJa1JLOPPRCsBrWAAE87LundpfemFTE6fa/66ttEOqFuNmKfHZmHNSAOZNUNGwyVJFJSygjth/ufW7ISm05WhmS6hrZBIAe2pHWOBQu4mR1PBi/z5z3/GYYcdhj/96U9YsGAB9ttvP9x22214zWte03Me//3f/+2dEN15553xgx/8AMPDw9hvv/3wzGc+Ex/72Mdw2mmFdtE999yDV77yle6ezEEdccQRuOGGG/pqw+ZIA15kEkhYAWgLkEojT3xH3c8/rokVVw8jaWk0nmwZ8841aebORJhDakIglxrkXJXSH3zkcuTzzV5MKAVt805GNWrrjO8J1SgEuwSaJG1rxiuDOUhp2SS3p6S9mZPRaFeuO0lvBcZCGf5IKOMfU/D1mxP36wpWDuAsoEYPt8bC2L1/KBSFdQ8bRsYV3OHFyLojKO+qiZkL5gFnfWJz2rc2nhRozSuAC7J0Idvcwovd72sYFSgKpUOjGqUDpETajhOt2PuAD3p474+xe1zbiL9DV1f+3kRxefJAMPkhp4ox0YlcW+lbFEXdnOiMACH7XLD4nuwnOFTr1XkKt/Tct4pO0Xn8z1CaCl7kqquuwtlnn42PfvSjeOKJJ7DTTjvhmGOO8fyg/elPf8J///d/u/tddtkF3/3udzE8PIxPf/rT2GmnnfCpT30Kb3/72/tr0DSQ0Hq8Z+eCjCqO5l1//fU48sgjMTIygre85S34xS9+gaeffhoLFy7EK1/5SlxwwQWeas3o6ChOOeUU3HLLLRgZGcGrX/1qfOYzn+lZ/WbNmjVYsGABVq9e3bMt2JlEzz++WdzoQpDKAYIVVw/jgA83izBlTs3LDA5tVqlviktoE57X4E8k4dtnQEknXCFM203WAJQn4LAOoWpolVZIqSK9gCZBGeHiXyorZCRK+RRMEE3kdJrERDAaCiotLzKbqrbJy/9hGXRNYHTrBGPzhTmFY08/8pMObiEmBoADJnSRpol7rj1GOJTthCrOJlK5jh2fe6CJturU2jlHD+MVTueZ83mmBcLr+fMv+e/0Je+4HEIZ5/JJywAmsmW4mXx2imx2grzOTZgF48eSqglzSir4dvgpCw/s7IHu+nL/4+//vOXSUthP/nVyTipP5ZxNef/jDz6A2pzOJiXa61v45qHXbbJrx4AMzRReBNi0+ZFdrr7czCupBhq5Mb+VC2eeR6QaKw8/Dc/5ysWFcNch1Ci0STUgpBFQA0Ca5tBaIEkU8tyc2OfmuarAhZCi4EHVRCgCU1wkNGegCRd2d3QOX1F+pzTupL7TlinCnQYNxdN+3jxuOWPhBCxG+C7NO+J8VKrNqUYloPlGXQAr339q13bORHrOVy7GnDljWL+uUfgBAQBYcE8E70PQe1dmHLLnsREj2LhIbBoptANUaNzQ/1QUQE0MNMmVMdOVW38hWS4x2q5hdKyG9mgK3ZIQmSx4FqmN9kZi3p1INGSiIRMfwImNk0fecVapr4QAtt1qHXJttE0SqbF2tIGRDXVoJQqTeFIjSQyfQu2g0vJMQmUSKrNmxGgeIP5Dmr7XmWF403ktpLW8qCMb11V17YX2Oa1Z4tfJqetEacCLDGgyacCLTA4d9EFjqli2zZ46b4iSyaAVVw3jdfudhXzekDlsVkuQzU2Q1wSy2RJZo/AfQlRbr9FYrTD3wb9BpxKtHeZibEGKfEiiPdv4RCHH0FoUDuHTEWMlIWGaJgCctQBPthDbq9n9MVn+0IkwGidpYRqM6unkMXYoOSuQwX7YCZ2ZvEjbvvH2q8KP7+rHwRhOJAuKyU7ZvlxoeFoIzg9GwvowAfIhw4vItvUrAyN8/s3FkzOHTzc958rlmPeoMQeXN4CSZg0q5BlEDCgh81yxA5Fcu4S0WKi/S3ItXgcUIIUHhMDPI1Y37suE/uvE8k3WaggHvxz7b9/r787z3+m+pzYLLRMrB6Jvi8oIHbFz/zekaeL6y/aVmwtsPmRaLx0J+lmX+0vZtPcv73/87f0JI69Vdb8PHzxn4mN5wIvMTJpU81ydaNasWfj+97/fNZ+hoSFcddVVuOqqqyarapsUrbhqGC841gIntBihLHjnJ9EIeVVp4VgMAO77XPHhvuDYphHQ2nzdTjFAk8NFNkaa50ETegzMYGGViwbPh+VHWgI9UYXsJFpGLHmwOMXy4mWZulmNE7KrSH1mmWQuZA/z3lTNdKm6wNhWCca2EmjPYTZmFbyFVmY2jEARByj5/+lUBACjcRL6o+KgmAWpNHzGAPDL5s8FpRNlAJHyN5v9YHDQOxTsIgaoYhN08JHLkY74g1bVBFp1wylSH5A2DgDceXNhvuLgI5ZDZhqyLQyARIt7bkx+mPL5B6WLPCWs74Gi3pNNkwWQbCxS6G67s9vzAW0aNOBFJocePe7jTuAK2ClYFsJSInI2LuzkK4QR8HLh7oNvK04ZPe9b52KslaI1VvfAkkrqmRHoQIIJhgUgtIIQwphAksZEVw4mSI8AKWDPw988rEoTJARMOlfXCqy1cOa5SsJyT2BOprnCjGDXT1HwixJuEVx8wyVYeWTcL8VMJp0LrH1qtj82hPmjc1Hwsia2A0mElFB2DIC966p3xrWQhAVOpFRIE3tJhVqSQwkBWGCkeM/Cy0dbUwhaC+RaGqfrOZNYSMY/hNXRZgwoJbq6VNv11otKTIBWwF+fmuvygjB9qK3E4NHDizGwy01LTVtT5YBOpYQFTAywQybftOU/RKpQn92GkBpZ2/g+EVUm/SZIU2FqYzppwItsOTTgRSaH7vniSTjw6CayoSJMaLuXYl08tuM8jG1lBB3ZLIHWPKO5wQ8v/qpZzB+vm/9+iIU7YOxZW6E9L0HekOagWgLITKO2AYUvWLuWCm2eidz+z+D2bEAgewB8YTWTD/D/0ATI6MJyg90PKzqESO2OmQAy21xTNmHvwRTiQBXbd8JqJISHFT3Bu2B5x9Ymek77emqTYOltPGca3gaSZo6W5j0+7+Qm7r9s05vbkxFzgFTVUIwT+DIsApUcMZkTP0zqAVe6nAfl7/nS0UV+vO8JfAmBG8GseLh3yk1k2XwKSxuMk7IyLSdbgQjkNHCHtwFjtizd4Dt0J5mRSmDs09mxQcTBs73PagIKxkdM3Wh3yVbRTkXt599Hbi3ABeDTVMhFfnPRpjdeOQ14kf5p0h3BD2iSSAeTDJsYDvhI0wsngSpNdoDxKbH/ic3CMZFEaUNWBZZEJxceViGwDvOM3fPFgv93KqlhPkHRYfmVYSR0rgBMnHpfl3hRQMZFNU7QXTzWZgeaCGIQWDwABx5t3uG918z8Sfel/3QZZG6Yx7xWONjjTKS3iHPNkhA0oQWevXePOC4giiBtF2ehdexVd9Z0Cpy3O2bAMnBCG38s4eLqaZWIgHmuqLMrwwKYQI+aHZR/qiHahhswDJF2i5ZmQgjXz57QiI/FSF2nRoaxSdDAp8mABjR+ElKZI1l0isN+KrveehGLVEwwJFwGgJH1Dexy81I3/8ha3QhfiarWgD7mq05muoTdebqDDgCgpAFMBCA8DRn7WxuTWaoEkogomELPlSraFc4nncxsVTW1o+N3rmIYy8D1o1lPqgCqxTdcAgCbBHiy+Ppldkcsy23mjEEo4LHv3wh2iIew62oAZvlnEwywBtjhLQFtJQwGUBGQ9p3TAWAOmtC44meejFkuAlCKejqeFFxgEbRPCx8n8sC1+CgSouiOP7z7zGgcTjROVCaNgESSJAcQiS4cE0ttTIoJjaSmkJAWTM2vD/kNIgGcAYC23LV2wIsMaEDjp7zhC5lJ8+L/vOVS5FunRgtFWEEtCZ9tfNkyhxbbswVq6zWeMX8eRnbZGu15qd3XCt9ng0LhD5PLB7h8JqAYYGIe+Huy4nS8KITjrK5EVcZxuGzFgSFAYcYJrCy2DgoubKc66iKfcoMqflN+FfVz8e3aVhw+tIURP8h8Q+xzupGLPPDJmS8X2fvMJnQK1DL4FjeAuHws8tsDPSLyEZ4XUZUshZenWfnkCJ1MenmaSzaM4vjvWntjzEtDUZnskPz0KCYXCg/xOC2ZpMfDD9w0l/3eHeAIkw/yoh8VHSBFMMz49yqBPLVpMpT6d0uiAS/SPw1Ak5lMsQWKT4ok+IXbT5nfXB5BtvZow0cTX+AzIpwceZmVk4r25utyXhVtKP1n+cQWbR1ZFEp5RupMPI6nWWD/O3lDhHGoIo7owwq0o6qMtDgxM04ACtuN7P0ceHRzRgMnL3nn5RAAWvMk2nOshkkd1ok7CvNbJMQPTk14fRYSF05I/94TdrBFmMAT8145pwjHwPGg4phoOMbtuxEaShj7qmZx1eCngczpmMA8V8gQ2f933Dp+x6c/v+EkHHzEcuvkj51aonIUG1OAOWJhGQbYvqe22doX6rzS17TZEmnAHAxoQP2TTNhpcyioPClOkEc+FwJD6AS75psm4ccJw0sUrukdqKM5rQgPoi0joIsJ0+bD0xVCX/5cMO2UTmWHguEYe6HDeEygHGq9RP3GBL7TNIQB3KtOtXSgxV+6BCuPmLnAyeLrrdNjcqjaMxWMnla07tv3EeYjUAK3QNo+AJT1PaK1gFISbanQktp7V+a/SerMeEE781x5LtHOEqhcOo0XEnI5VtWGe4dxtK2crQ8qADUhNB555yf66B+fVh5+Ona5aanJW2lo63cFgNFAqVFfmrolqUKa5qilhgkhfzGFZg2cGTod+kLZAmnAiwxoQP1T3rB7wKQQkiZjxkF8bYOZVNqzjTljwCyLxucIACbYBoB01OxRn3r5otL+zi2dtK+NgCMi16WDa8X+0poOYwu+57ibWT4ITTjF/M1y814ujY3GZRiewN7Ke/j64QAk+q2KZ+F/zf9zgTmK9oYWJsL9PJnj8uRMCWkdmH02vcfQkso+ZzTxwNKZKxfZ+6wmADO+wGQCAHsPVQwf4B0kpTSo6EsPYAkPShIwQPH5QWv2vrz3KP3fxlKFXdMZa+XyDLWiqOgE0LIwbU6mZZOWaZtsm/D7Lx//e/zNxcPGpFerkDW5b8vWyYEfYVvpeVb0HYKzNg5Y3UJpwIv0TwPQZAbSLz49jBd8tOmFxYTzJRL+RKdocmTCZG+ijAipS99Hp+8lNsF2S8cW+Vg8HVsswuflfa4XPyR+gq+UjygWuY5TQwDcOIF9WO9YJrpg8jg6RALwmQicvPh9ywFtzlS250pks4x9V3J+5WmWBBolxUkIHX3XOrAv4WlExMZRmEfknt6xD5hE8qIy6Z6b5jJSFG/B9bSGmPYQOfYjuvv6STC3JlAw8LpgYuh0BoFwxHhTBaoc6jnTXQwIGo8/k82BMiUhVNXEWcQZ0IAGVNAj7zgLe//rEqNBIQCVF8JnGZjf4f4yOFjSsz+SKorMbZUn6wOBQ1W6EKgIf5JWiRGuW4GxQFk7xUkuAH7qv+emaD8+CZgLrRYO2JQbRWYzFOWltLc2mEi8YYATxvMwSzPRXJcDS4jGu8slAYO2jtXB36324njFVfB0Csa8lVJACHABBjBRogBUlJJGw8T6NXH5S+3VyQTySpfbYH77khoaR7+fAGDiirH1cT53nPaMhiRPs6Lomyr/PsZ6bRwoGY8/k82BBrzIgAbUP624ehj7f6zp7c/q6zVm/SXD6LYpxuan5iCj0sgbwglSVcqWDGnNzQjr9zWx+1GSk+hiTyVCUIALr+2eF2D7MW+vKKJgQOmgKpfZVOyPPWJxufZLVP5QklnYNjJNBW37JKwbL4/7i3B7TQa+6CAOSvvlIF+poVEAVbScaAnotOjXvc9szjg/J3ud3TQyEMC9X6/9nUgX48m9i06sjI6nCd+rFjAmVwFnhdUD4oJ3QlZnNBtDvtzN8kR08BJgQEshbNE0lgDjo8aCGskYVQ74zYUTf3/OzBZZzeFm3IPxz9vj+ouepYXcSsKmS03cTd3k53hpwIv0TwPQZIbSLz4zbMxwBQJiUqWjycpN3ORQjMXlaao0TBzFJu+qtTsCFpQm/26LAS8jVhcu0wgZgaBMHSlfBD8q5RhM9l1C+2mxsos6tH/FTgfwvvWcxROwwJgMLbU7/XLgh5q49wsza+Imp3SAWbCSMfgOuICiLxQ8kKR8+qZgTksMXrhoM+rEVGimRWICSBCCUj1iQJvnjyZhcRxTHtEw0dZ5vP3+QgfwE6G0LI/tAAEAAElEQVSf3+Dn9aLDlhf9yE6zhGUSwFU0TngnRgZkXm0325yD7hrQgMr0m7cswZ7/cj6k0Kg3MuO8PSdNEuF9OJXAQaePS/TwnOchEAdMwvWYggOzVNpjLuJl8TiuTcJE4M7uzfOqeheCdACB8Dmot3uOon0klI5oMTjABmZzK9j66vLUfseV7JLzfmf1mYnACYDqBS0cH/RbsP/uxQZgSQCeUFrPf4wrRjBzXeXxwcdBOEYoo5LjdqtlAq1sHcpSr2IsaC+tN+60wO/f1d30Vq+08rDTvfvF1y+zmiX+ycSVh/vjZJ9vLgEAZO3U1d2BRBoOFNySacCLDGhA46NfXjmM5328CS2M74SsIbD2WTUo68uYO34mn5uahP2w+1QuCFbC37eqIr53UJVPzdqstYJkLiQ0D/b/RVprApo0UIDS+utO60dkNFzGEgVaAuE7F65XAf5eXiQ3IqE6K5Pn6Zx+u0B2MFcwuQZpmEiUARSmpaysEFtQfzOrFaQBsOe5zZIz8Y1NkvywcJNWIQ/C+Q9UyCH4e6R3Rc+5vxmWNmSBwnGiqT5UPo0nNlahzT33cSwUG2QUzLWEJDNRZ4Vmsi0gMuFbGslNvr9bMnnvLNRU2feUZgEkMQsbvwocue9zetP312PHII07zWU+WygNeJH+aQCabAoUgAiAuacFXkt/8QL8RbWkYhnmFU7sKCbXMDyWruc2hORtaoNw/jyWpt/iKgUbRWSnkUKLk0AhVK8qk7WhYGjshpxrWoRMDZnq0oC2vi8mGzg56IPL/YCwDhXP7r7+JMOU5oBsa6iUFlhROHYn1N8xbX6GYV90BUvKsoJqU2yuEcEjzxi5qZMGe5fdxk3w7Tgtj4CfoPxCkGOyibRCXnT48o7x7rzJxjtseTR8IrT/CU3v/pefmlkMbK80UEMd0IDGT8rtyIxTaCJPEA84wX8nx9olCtKTJkhHk1sV6b3gTt9zLzwNrQNuQUBZS6XoloipJ3LiLmw+KPom3PwGYVoIYwaNCeg15UfaLqIivQVM3HvRhfNwl4aDJ5H1cfH1y7Dy/aeGvTMhIv83WhXO7ZNUYau5G5Czo5pj7RTttpFIPPRPZ9t6MiaN31fwsu53icckqQEs/0U+bPy8PBNpLi4JNvxCXTd777SP8d+JYnWCLmU/mYBJjGgsLL5+WZxnt/TAPy4BAOz5L+cDMO2VUuF3b1ky4TrscvXl3v2jx43fHOrGpAEvMqABTYCEEarX15m5Oa8L50xcWG1Xz5qGna88gb/mSwrjZ6ALQIEflkMBRnhKqgKeBQC+THFNE2dWOpRtUDwrgA9NQLt6kShBBM8i+3hnsoiJH7z52pNVsDpGDtR6vmNIgG/TOKCF8qC6M9CkpOXA109pfYnasumdKCvYpnpNhcbJXuc0C7mP1XABLNCmDSAHGN/AZGbqobOGjXmo1H+Pzuwbe58OtNKBDIGicvkaN6kFOEXgkJcRwdgryfsi77i0jAh4IFYBngXyGwJJrEpNaVxYGVYJXEyAB8+eWhnBry81+T/v5KbXjyGRX5znfbzpfVOT4S9njwuavgYbgIfO3PRkIwNepH8agCYzlJyzdyC6QXEocXn/7ajwaRDkocsTe0hekToI7LDvKwEvFRmHwvJKTYMu5ZWEHLShq1hMOmo00MW0eKoqpaWwAnnt+pAzNqVqWibCc/Km7W9RmOo64Jgm7vv8xCffA49udsSPQ0YwJKE0ZNvUO5slnHM9YqC8fITPeBaZ+GV1e1Z5Wsb91zZNkSgGxLj3qI0ZLQ2fYS6pxlrNjNgpHu8kCBdKTSPddWNv4MeWanqrF5oJzMFTTz2FE044Ad/61rcAAG9+85tx1VVXYauttqpMc+SRR+JLX/qSF/aiF70Id955JwDgb3/7G84991z84Ac/wOOPP47tttsOb3nLW3DBBRdgwYIFEyp7QAMCgOf+3wsLMz1EdrelmWDaA0zcQugLeEMwJAZshKCECeQRyvH603ARxbOOi2Q5D6eREGGQPOEL1Yfiev0S1CNatnHcrnldWTJP04S1XYjCpIIg/xEk96fNsRbOfFrJd4ZdNwFg0XXL8NgHJgc4ec4tF0Mk8WcbWnVjyqrb/BsDTHTkOREHQ7z+oxdinnnAiZe+/Kw0nOwL5sBaifj7MrbdmDkwNiYEIKq8C3cbq9NEvQJpv3vbOVNck02XZgIvMqABbYq033ATSIx/kw3PML4oZVbIQ9pzEewZ4ZnS4vtdrh1Cp+XzGlvfQxlCsAZzkITInSfhsoiASmwULwOFMNvnO/y8osuEzYNbIRFAGYhhPJUO8wzieH5diJdIinSKAJIEBkzgwItAeUlWgBgTTg4is+LioIPQMAczbR/sfnFz0oTSz/t4E5gTfybbcPxTXi8/p7bGDmdUygfY+HFLvY7852OT0tE/AY/Xjh04pTRc7qf5+2EglqpZKyeZsPInXl8LkiQFWKKltvIUOK0U4/RdQ7aN/CTJMa10/2W9jYeJ+FTZ3GnAi/RPA9BkBpIDTNiiq/kkSJOije/WwCCAUGRvAS4JovuoWJ/C4igyDn9Rdfc8TrdyOsUJyogh8B6xRcr1CeD75gh8dXQjp4orrF1oAaeiW8Qpp6N+OODDTdz3ufFP9Ad8uGkPdPhlxhg5ajevzwvfv9yYjaQFmKen/3xxjjGVYZqAYvINqhC3uerCQqPY4TuNveOAyQ3rpwW8gy8l0CSsG8trqrVMJpu4xshEtEWef3yRz4qrhvH848z9iqtnNmMyE5iD97znPfif//kf3HbbbQCAD33oQzjssMPw7W9/u2O6173udbj++uvdfb1ecPN//OMf8cc//hGXXXYZ9t57bzz22GP48Ic/jD/+8Y/42te+NuGyB7Rl0663XgQpEQEjRElzwgdLqqnKn0g0WY/CYhJud/YrEim3U/6d1vqSEB7gqgZRE2BdARNdelyAL358DsBoFP5VjIN64j+kXUsZQxgUZZrPdvw2LjVl0bXL8NhREwNOdrlpKYQEVCYhE3o/vC2m3sZJuECeS+SZQViec8vFKG1T3DHeclkls1WTTVxw4crkUguUgMHYGCuNTwGUNEgi3wYHy6gP//DuqdUymWziPmomos20+DOXQddNJzz2wVMAGKAPwKSBfVNBM4EXGdCANjXa54wmEpj9YTJmZCEyg7f/U9KEccfQtJd0MpTARL8Wzs2DzyKw/a4nR4nFCWQ1lM7918G9TePKZGuKE6QHDuB5Xp5Mhy0/YR3pMKDb2/IkkX272w8H8iIvAvtdAkw4EKXhaVGY38Lb40vm4BsannaPgAlvzzdZPHdpEw+fMbF95t6fsGMoZ/VUQGY1SrichzRMSOtkjwuaxiQbaxtZe1F1f4x4MgNPjhH8pr5gGhtaWB5GwJrEhJNLhbIzlz2TybiLAyYCvqk0+l5qOi6nC+QgpMElclFoHlnTXNAArLmvib6f6aa9zyxMfT2wtI+662JcEO11diEb+e0Fw9j7E+b+NxfN3D4Z8CL90wA0malkFz7PZmZMfZLismBN+yq3UAX58v9eRuX7vr6XTkwDgmexMsPsqhZr6hteZqQunoZNwBxwBoX7HJEZ/6+d+qFnG5EzX0G93MIGeneiqKMSkFVHFonRsXEJOKO8fvGZ3idesldpFmW72IUMGG3CrQdZz6kdjMpzMqaQqKLjslnGx4lnf5UzjUAUDCpXkMXlDGAQ7iUJzXyxskvaKpH0rs26YMgAa9augmJt2dTAkhjtf0KzZ+CE4jmwhDHkBJhsCrSxmYPf/va3uO2223DnnXfiRS96EQDgmmuuwSGHHIIHH3wQe+yxR2XaRqOBHXfcMfps3333xde//nV3v+uuu+Kiiy7C+973PmRZhjRNJ1T2gAbEzTy5+yhY4lIEGdj/VQLhqmQO1e6STiCuvVKSglTkE60LrTc9LGhuThSl9bC3xJaoSA6ACFYHC1SRHxnz374T0mBItUmXaOhcG98zGkY71GqYCCWKLK2dceH4D7aDtnEWXbsMolYwQCsP9/1ddG2hMg7TASCnE79SQecSaixBW9dN3WsKMlXQuT8Pi3oOndl2BH0RdmEvAFsRUbu0mjEFoVP4Ku0lz1Qbz4f95yCH+Vb8SpY0VPi3wvkarl1jaVMDS2LUjzYTmeNa/JnLjA86Wbz4RV+81LufybSxeZEBDWhTJc20FUVmNE50UuzZZW6Wr3zIhtn1Jk/L+3b6xJK20RAJwZTgHEH5PEgv001s6aC5XUWi8jy52ScGNJDsQ7Bn3rkH3j4uJGf7ZVpKS9NMWF+rVeGE9zaMhPKqBl8oz9kmAgJC/k/D+UdxF8Wz4c5klgBqa4GWBU72Ob0JVTNgC9C/A2/yaQENByiQ/xQCgSAAOVaMB6HgfLtyuRKNO3J+rhImK+JsHecJOT/LZR9crqFRaBux+DqI52n0cP86Kfx3z01shTLEkHVng8IBJK5NwtU5BHoe2sTAkhjtc1qz5/H04Dkm3p7nFTIQ/j3tc1pzk5CuD3iR/mkTeK1bDh3wYSaEDDeCdvJ0c2jVONZmkq5cz0Xwn5KJcpzxACaVaWN5VTEgoaCkl7w65R1bqOg3gSW5YcKMqqg2oImCAU5YXbQUZuEJy2LCZBfGFzewxTMiCBLQgBIOHAvpBR81Y6MbePKCjzar+5ovwlVCK5Y2myULM3CwzEOK6v6PMGGxExel0xg6eEb1jRUR9msXIZXT9qG8q8ZnWH6ENgfAhKgf4MSjiv5+wUeb0XftEQubDBN0/VDJvFBFHABYs2aNF95oNNBoNCZU/s9+9jMsWLDAgRYA8OIXvxgLFizAHXfc0RG4uP3227H99ttjq622wstf/nJcdNFF2H777Svjr169GvPnz0eaphMue0BbJhmTXGC+M7T9hlgkHREod6KOQoaqCb+3TMvaK4Ewuiq/bvUvIfLBs0DAHj2MUlrTgsihcFxwIbkuCee1EkbKowozWxAwpyCtvxCwfMgBPQEmIFBCAOT3y1WLaRBV0eIvfxJpI8Mj7zirOhLFvfGTKO/MAW3BHE32TLSAHktc18hEFwARkWR9DZT86bi87bj1NFJ6GaaxeBVpe/FN4gEmXv1C5rtLHhHa1AET/t761mbiQqAKIo0TUxggsoCpZt/Nyg+f3HvZk0D98CIDGtCWTvucbva+JMClQ4GeyWsmbFd1G85ZAua3g/bX7rS9dUbuhOR2/es+w3ehTjIVEV9qeKF8XRa6qDfJLRwXwfbBoUA86uu2Yg8cHsj12BSeLmL2ics5vDZHZA5CWTAr2P+7w5j8Xdk4tXUonH4z2ud0I+/oRUtgz/OaxjRVvRgH3DE4B7J0WowDz6Q6AjaQZBE23DNfzttdIXcJ3xf1B71fDzQJ3gEBOJ4/GQEH/HhgSSgz8cYmH3SiAEMUDHASymsADzCZah8mU0r07uzY2ueMZl8aJxwk1NLkQ+OXNJX2OaPp+svzs0Rjy/ajqvWp7TIJNOBF+qcO56wHNJ3kABOa0KT5iFTNZxA4Cf7DTojuNIVlLFRq8sjr9mrEL1VnFysTkl0iuGIULDSepoYOLsWusFGxRRhFG0sULDh0AkC2zamBhK5Rc6UjQLrBXLX1QG2dRn2tRt3+r63XqK1XSEc1kjHj34NAgUIFUsCzY87brHSBxofmvdjlabqwNC7PiHC6K/E8SfWVmxrTfn20FMhrwjjUSwCVCqiaQHuuQDbb+jORoljM+TvQRd5U3zB/ztTKPNIXgBtjHjMWXCo1zIxOrC3VipNBpe6w2j5cNTVsgzNRFvAPdG3qgMkvPzVc+m73/1gPY8nSiquGseKqYe+bXnH1MFZcPeydyOq4vrJnBxzTe9mTQZmWPV0AsPPOO2PBggXuWrp06YTLX7VqVRTo2H777bFq1arKdK9//etx880340c/+hEuv/xy3H333XjVq16FsbGxaPwnn3wSF1xwAY455pgJlz2gLZN2/9oF3r0RXstCmG6F2VFn7SGPEOMVSmG0E4TPE/Ar5B14Wh1ctBMKNuUEChgAwV4aHa8ouXbpeBvDdO55WKlI39BTe6pPZRJ5K0E+liAfTZCPpMBIYq4xCdGWEJk05hNYm4QoNE5ognaASaRPudZKUYmiT3XLHHsViUbaMHYJFt94SUUHBXmE749AHy1KprTUWAI1ZtqpxhLotoTOpNE+UaJ4h9S1to3uoqHkupmNLVcnFPlQXXJpL2HLs5ei38Jp+LjxzzR+aPNJJuI8bRUWn+dRGstsLHl5eP256QMmziQXa/+iL17ae/oPn4yVHzLmuIhve+yDp+CxD5yKxz5wqj+mgvHiAZg2ePGnfQfzU0398CIDGtCWTHufafYJtG9TqdE6yGYbuQUAd8AxGzLhJCtRDSCfZeUbVsbB95K5jZ/NNr5QMnu15wLZHJY2Ihvxwuo2f1aOi8tkOE6Ow+Qy/JkL43HJ9FViABAu29EsnkqBnNJSGwPzTFEfFyzMyZGYIN7tySvqTOTLRYKyrexI6EIO4BGTW9GcLDMjtxGZL0dIWkZeAwGniQIAe57bu1yExkY2ZLVMLIBDgIOqa2SztJGXzdJozynkZ6RZ4/LL4MtCwvU8JjuzWjSlK/QPQ++Y+tyOq3zIjm0aa/ydkOaP5ftKgAnVk/HWIhPF1QZkS0C2BJIxgaRlZWht+y48SyybOGACYzpLaBSyThRzTi/04DnDePCcYfzu3GHX10IbDahfLxs2YyQ3edOBY/5+Vc2+R6vJ1NM4nkQa8CL900DTZCNQVKMk2DzmNRQTHQcSKvJ04VVCS1H9vHSYUge/i323V4Honi4mILHhgrclFpfnT2WGKqyBoNvlwwABV2dbXOh43VcNNaapkjYgctIw0d570VJY5kRUm+XiwIHiD4zA3tRXl/yHhGQcy/snep3qaCeBdCkfRAeLOxwb1N+dVoAom1djeToblnwBBrzxUWpfrL1he/pom6cCHOZf0e4YRfsoUo+7r9+0AZMS9dHXIf3i02UmicIqAb2K93HAMc1p0zjp50TF448/jvnz57vwTlomS5YswXnnndcx37vvvhsAICLG9rXW0XCid77zne73vvvui4MOOgiLFi3Cd77zHbztbW/z4q5ZswZveMMbsPfee+Pcc8/1no2n7AFtGbT71y8ohXHtBpXHmWanFQGN0OeGFwcozTm+6S22oLiwcppxkbc2CFs2exaucQLVYAnVKbY+hptl9z/IzLVPlJ8FeSllVVo1ASIW+KC+s31r1m4LGkhdAiJMucbPiZBBo7VgByF0dM3XVJYFB7IYwFJFXGgdtQcST+PMWPGqakDEBgW9kwCIKBynmjRhv3jjIGR62LgV0vJxHcZ5kWcESOxGnP+uSEvf4qPvPaO/vGcquXeD/hhbRuTHJCQCZRZfv8x+atqMbcCNd9fpmfm/y1WX49HjPz6uevRLg9OdAxpQnPY6u2l8lbTsPtoK7ckHRXu+mS6SVrGX1Uw4rSWMzCCQO2i2lDgBPd2HUjC+RIbLtGbPY7xKKC8BEFvmS9N8B3agFM7kHrS8uT6wzzXKcgp3noS1zVuSO8lnmCyK+9Yt+TXl9Y3tz0XB/rilWQBCwjMB5mQq1A4bl8AYoJC55L0aARBFvRWBRKqov9M20cJotUrtfHnwPnFaBQqFVodNT9oGrv9CHlFUP+NWNkim5dWd9b/X52H/s7pSWpdNhaxEOI3fQgvIM+kuiv/03h/6xDA2B+Ljq1fZUYx+d165P359qQnb54wmVAPlPQfNF6qoxx7nN535r6mmAS/SPw1AE0Yvfu/l/s6KdlVC4M6b+hecHvihZmetCE4VgmX+mPaupQOBkRtvAqYJnk18ldVhHzFN5J6NxvK+ulTHkOHgi7ubeMNM2MTM7WGWnK9HJjbB6sU1GETQDsDkK3PtAScy18Y0V669vJ02SQqoRLjTG6b+diNO2iGsDCcH0oBwHAzKQvoOHen5DQniv+DYZlR47aIFwoNS9nwRpYXRTtiKGBI+zgK1YMBnOktAW6lC8bJj96WkQX4O9HEB5TqU66Qr43YE/jazteKXVw6XtEv2P7GJX14x8QX6+cc3i3Fimc8q4I7TAcc0kbdGJ1x+N+rHduf8+fM90KQTHXfccXjXu97VMc7ixYvxq1/9Cn/+859Lz/7yl79ghx126KksAFi4cCEWLVqEhx9+2Atfu3YtXve612Hu3Ln4xje+gVqt5p7tuOOOk1L2gKaPDvjuWRBCI8sllJLILHCRZQke/ufuZpFC2vNfznfjW5KwHZ0Z4pLw3Qmj7QNhhLwaxgRidUaUn3bpBbTnR8LZVIrwJ1X5VVJss94lnxjQ4PkTofjEbJQyQGRtjy0u9qGmAjoIya22iceTCAAJW7wEjFCfgSZgJrl4VUVS2LX25mbHu4hCAFBaS0Vx8EXDmc1a/KVLsPKI06JtoAo7NhqiMyAVe2bL5iBGmD+vrLa2t2N8gw7z0MXD8lpV9IVxVG/TefhhjBFFb8CJN/Z0OZy/cy18M2WbAT121KnGhBb7BBZ98dJKIKRfWvy5ywBrStdphMH81sIKtrQAEg3RFq58NTYyKeV3ooEd8QFtSrT7RU3PdJVb/tX4Bad7XND0tA64Q2lOBKB4866A2cdrawKHwBW2b2MsSmkv4iw2ctOW/HBmhz2n8zXB61KRrpIPifE4pbW4XKcYS1ECTGydSkJ0Aa9fPOIAkgj2/jwNWWlgoAkXpnNyFi3IpFZM9kHppFljQYBXkIfOi/qH8hle7h4XNDtqPmgmx+D/qc0kd4rJR9z4Dw6NcgCH5GwI+y6se2SNd2AS/DD+vxtYUoRXaJi4jij+mzYLf8xF3hW1zWg4dWOsNy36zUWF03aivc5u4rcXTFwuAgB7ndOEEEZzCrDaQFby7skOdaG9tdc5TaiRmSUXGZChgd4NgBcdthwvOmw5IAS3SGBMEtnd9Ivft7yvPA/8ULPymRPWZ9q/rONxWsT5hEgfFVeBDB180R5fWh8diVWrS1oRE1Uj7NrAflvzVUkLhWpexi5r7skxPFweTQtghZomgvZ4pqlywxy5urZYfVtB3ceAdNReI0Btg7nS9czk1gYysVVc6YhGOqZNfm24PqdFMK8L5EMC2SyB9hxpL4H2LGHMmNWEM8kltHaACdcEcacvwNpHPlPILBUi/eMWRH+CKgkvXGfHyfN5Es51bCG97/PDkBm1QTtmQAZ1dW1j5rDM2A3i6oLZ6vmKmXyrmp/t+PdMfnGzZyoMM+2ibyrmeC5aX1Ynx5BuRvTLK4dLfb3/idVzVT/kxjRTN+fq5Z6a8jQTnajodvVL2223Hfbcc8+O19DQEA455BCsXr0aP//5z13au+66C6tXr8ZLXvKSnst78skn8fjjj2PhwoUubM2aNTj00ENRr9fxrW99C0NDQ16aySp7QFNP+/+/s7H//zsbSgtkuUSWJ8iVEcJmmdmhPecrF/eV517fOA+AAUskW1DoPgwnQTxdMlGG99DMBJEszAe5e6lLcznF489KfjscldP3vD6wLHg7vDR20udtI7NOdLIQPCzR9gQrey5YHcPdZamOkcrTHMPXcnY5p+kB4AFpnbzXFERdQdRz87umIFJlTVMZXkbnAiqTUNaklBC27omCqGmIugLoqmlrygHGTFUmIFrCmPGi9VHaOEDhZ4R8qrQ7byFWvv9U0w4ljIktWsdz4a7HPnCqM9cVJdbnHc2m2b5yAjJnBow9kyi9e5GY9rl+AEDaPVRHZNZsV1sUJs508MJJ8BAD2vj3QN+E8E1waW36SOcCKpfmHVpTYZsjM/LYB04t8bKLrl0WjzweUsLyfsK7ACP40fa71w0FXZ8+QdBU8SIDGtBk0m6XNPHcpWZvwC0k8H3s7hf2v3fY9TIjS/FM/ljgA8JqmZA551axf6D9Z97QTg5BZrbyBjwTR55kywrD+V5RkuP4tpEnyFb5IlNEzrw1S+/uc3hmi3ia0Cy1t68m8+FctmJlLeRb1YtLspYqnojLYrgMhpu2ZvsvoeE0eBQz5a5Ta4aKTEGFpslI4EtyHCfLsvUnGY699/qEy0LyoM6cNWJTHzfpzQ/jCV3kL3MUfko60INnDxcyDRoa0pjjUnWNfEjjoU8MQw1px6qp1L5nag8/zEt1zIqx4L0j+GO3ZBYtvCKmuUpm0ZyZLo28rqEatu4N+5tfdW0ADuJjqY8jciHqfzcW6kA2SyObba58ljFZpmqmn/KhzQ84cfJLC4TtuWRy5CIAXN5A2UQ9yaHI/Bz5QpkOGvAi/dMWrWnyosN9ICR2wlzDn2T7JaYV7jZzsZPvrmxa4IWZhB3YYOtFk553wI728pSWl2nTle388koG/3UQF0Fc4feVDsP54hfLM2g7eN2pPYF2i1cFnib4Hfatd3KCgxuJqbS3gAow8IL+E3dQ1MWY0PL72YtTis/aMY75h07G8Hy5KaTQOfx9nx3GAR9plvucnn+uiM/7hjMC7lRpJ1lGqA3TQeYRknsfFVSpTcLuY+Hhu4ke9o3VU3R5vpnTfsNN/Ko53D0iIwe2aBSAiL0vaSTx7xssbJpI93CiYiqZg7322guve93rcPTRR+Pzn/88AOBDH/oQ3vjGN3qO2Pfcc08sXboUb33rW7Fu3TosWbIEb3/727Fw4UKsXLkSZ555Jrbbbju89a1vBWA0TA499FBs2LABN910E9asWeMc2T/jGc9AkiQ9lz2gjUe7/X8XIkkVhupFGJmKyrIEeZYAQo/7xLkQGmmi3G8a67nNTynpxaXpWeUCeTup9rHQoTzzI3ig/e/M1cWtB9pP03ORwTodpu+l20pxKtrQV71QWq98PiBkNiPxS+urjvdrILznaYRN4/zSCIDURoS0iZTwnsdMfZFvET4UFn/+Mrfgkq8JTo8ddSoWf8H6rBDCW19XHt2jZgHrM89vifXTUgj0GGMsCuEHCNSjtvIOUpwBZ+W53wIF2GeM0cGZOkNvYytsjvbfO/mwQewdbilk39t4NU7cGKO+lcF34r4rJnmj8ShUeZ80RbSxeZEBDagT7bnEapZYs0f8sJwT8klMaI5SKSCtcFILIywkATu0FRgD/p69Zg8Zphp5Q5i4wcHRTmutJ2MheQECeQnX7hB++mh7q/amPCyM18uywcsVQdFhQtqnU1+EfULt52aIYGQg5AMj3Puj4v2GGjvhXtvrBy6jqdjvlzSAqC1geTG5jMvbxnPaLDbuHuc3oRgP/fDp/p72d+cOGy0nqxmiE+3a/vuPF9ZkSLOCa444OQntb0M2wir3U/my5bMVJe1XWQ73ZCmeHAoG4Kf36wAwHdcKgi83Iv7Paf5q9lz766QbO5a/8fIMzJVtTuS+jwSu4/Y8txk1u9WN9jm9WYzrhM2ZQDH/0C31N70Xrq00xTTgRfqnLRY0OfiI5TSHlE4llECH8TIHLJ20fjI8hDrc3AoU6n45zGZW+nspt1BRXQPEEkGWPVe1KnLIcLC6U5hAsRnnmw7RrRIRRoMSUj+Uup4vxOx3sfiKMrMSvFPeripheeXiz+sY2ZDFmCcHcIX5s7XK9SVXrfSLMxouCj6wA+CAjxRm4AhAue+z3Sd6T7aQxTgaOBNlvC2uQnxMgrWnilnkwRGmLiwjxnTGABECSirTRNq1JROZ4yLQg/q7V+Bk/481/T4kZtKqYnvaVPxdMsaA00RA6V5JA51PKGP803yvdPPNN+OEE07AoYceCgB485vfjKuvvtqL8+CDD2L16tUAgCRJcP/99+PGG2/E008/jYULF+KVr3wlbr31VsybNw8AcO+99+Kuu+4CAOy2225eXo8++igWL17cc9kD2ji061cvhpBAnkmsHZ0FAE6jg0ASnUsjIE5Vp6yiJIRGIn3Qg34n0qhfS6kguCaJ0Mjbhj1MajlUJl29+qLYshICKhP58HTxw9XNW6cj9Y2VF22WnbA61o8zEEE+VfxNp+cRXqj4XzAMVU7Cu4WRlg/lV2j9sCRsjnampuxzlUmAHLMLa/Ob1WXxNZe6tBxAiYEpJZJ+Zb06KZjxz5pUuW4o4QTmWlpQyGk66QLs0LatUjgBguP5JWNwHb9p7k2bTV7On4wgCQ7sQZtgjFM7PAlYMF69cdBB2rIZ0WNHGf8ji65d5rV50bXL3LNOxB3Iu9RSQ9P7tu+NC+BcfHp3gOtjLae+r2cCLzKgAcWITlcLbYAMRL4bLjweDyUtYQTKJJgXFkSx2hVawPkwAayyoN1LJGMwvkWtYLPwQ4HSXOv2r2D7bTIHFgq9eRwdtJHvXcL4KId7xJ6JSFipvvSbgQSe4DyQDbhnEdNN/HkY36Wh9sa0NIK9ticDifEp2u/DMG5JbhOU4Q64sjwVaWCk8MAcpwFk2ywzk0QFEs3dLmk6Ldnfn2xAka7Oyyl/Jbw9rNfOQI4Xk9nkjXLbKopj7yViWkugAEwojB8IsOn8TK3BXNvftI/gspIoG6yE7+dFwx1E0QLQadnPy+ZCvz3fjAsC1chU3J5Lmvjdku5yEQDOzFfBi6D41og4D0KyksTMc0IDyKaP5RvwIv3TZgua/N0Jn8aKG8pOE1/4fqNdIhBZKCoWUaIXHeZrptz15Wo/J/d+YRgHHt10mg8c3IiRQDFBCm3SP//4ptsnu4Wf1zVcnKooOjsGt+U5t0hLixkXetIHTpt4sOcV5fTy8XlxYkIVWkRosXebe7ZA8UXapuf9V5L7hPeaLXIR5jA0oWWyYKt9pKGlRTM21jjzF2m7swkvbR0i5o4cgBJu1u39iqu7T/5ljY5igaZ6anJwH1KpXWHnmfRmvBSDx5MRRN5HrG6hVlG5IRXhvdLmyRuUiAOgVRT6QgGKNOGGJLqBofBeNhpTQAoCUSfCQZyppG222QY33XRTxziafS+zZs3C97///Y7xX/GKV3hpJlL2gKaXdr31IuhcQEgjjKbT5u4/nWaPvN5dbl5qzQUZJqbTyezfvGUJ9vv2OQFoYsxz5Uo4sATQUPYkmqYTaQAeecdZeM4t1SbBuOYKEd33op3Szfl1x7IYz+FprYDCIwwJz7ZqrvIK4JF7iFohUCgRX+tDHqdTFQRKfjOq+qqqbfxZ3HG8KcvF00WZOlEGJADcgSOd06a8yGLx9css+ACPARJrzbajZ8fbQkNIAa38TtSW6fR4YAYKlU4gUzu4thZPZ+uoaaUgCY5jblGsYdp0khHa2XR0uERo16mub3nHdBpS7D1yXzCbM3DiUQ/tXHSdNeEVat0xgRL5I9KBeTZP60gEeWhRfh9TQDOBFxnQgDjt/QmrXUJO14HiMCkX+jFZAE1Ve57bdM6jAWvqpgM9dOYw9ji/6cwrOU2HQMuDz9/mYJ8RbO526XIXx9uXdvp2mawkGpfLDGhpDMJ4vFhaXvdYuGM1wr05T8faHTugGB425KAJf0cub16W8P/HrHmUpl/eX7G+C9vK5SVBWpc/i6ODdjGFZydPIhNVXt0lrIYsfP8q1C6gJN/b5arLoWYZc6bEAySrTcZ/GA5keZH3zcER3teVwy7gVZ18TARxgvfswCH2TNt7NxY4X1G1effek5UdhfxvJJFsCyb/Eq7uQgOqpn1trM2RtNUSSspjKCRnwksbs1suC0on2T2x0vZbZSynTwKFubcppgEv0j9ttqAJYPyK3PuF8gJubDySXwp4k3hsQY0uPD3QvdeYsg/64HLPDmgpbzsJq0S4j+2ADzchSE2M5rnY7BwuqFVxulD44YYC/k5IeamY2KItKjbnFRS2pavWQfiMle3tm6uYprBu3ZiwII1zhss256U4JIiIjDXvREKXMrWAO0lHAIrHjPFTKsGkz53I331dGfRzoCJ9F+zEj0+6pzHhpWAMrqYBLfxnVfeR4juWwanTGImCSzbsni9Wg6KbA/3yimGnbUJ9FDqGL4ElEeY95AM9Jj7CKHrM+jStx73Y5hyooQ5oqmifG6/A48edUwrXWkBn8Da0TpWehyUKWsjCPwjoG+xtAv7Vm853v1/4vTOLB1IiV0CuJJQSTl07J20CGIDGmAqLfB8aZRAjaF8n6gSqxECBXvPTlQup9v6V44hS1OizMCjGn1RWMpId/129Cy+eu/dRFsZ7PmNifE006+KBUZQoTip6gmcAgk49EkOlYXhVr348gYBDAFoFQ8LNMMVAv8XXXGrMZ9hxLmSM4fCFBjH8WNvNvzuYEuX1+BjWxSloAv94xjy+Lu6Lda3DGBXwtGBCvliH44jeA8SkOUmfifTYUacW/kxsf4TaJouvD/ydiHL/Cf6M/dYINNDtnIrEjm8IIMe4zR/2QwNeZEAbk154wafx4KXlA6UAzHRKWhw0t9Fcz6xehMJvFZh46kYPnmP2GPuc3nSCRVWHb2mDATFE+5zRBLYx4Sq12jB8GeT1ov8K/p4/JlcIw8K2dJKrxD7V2DoDlJaaMH1JywDBvYjECff6YdpOFMgiHFtEbBLX1EF8fQ3JOzyHeB978XWkHU62gcIcFZgMgZ3QN/6pKK1fCGlO6FRD1zXkUAYhNVQ78XiRxZ+5DCs/ejIA4A8nlvf9uy1rlmRCnYA67QlkeIWKxO59JuwZDy/5CAwKI+RSowD/dfEsKjOLjYcw23p5f0HjQNcV8rr1R7aZ0oPnGMfwzlwgjGN20kQBzDykJYBakU7RGEyCsUHzE31jDEgRYN+UKF6pBBsXU0gDXqR/2qxBkxhxc0Parv5crlcSAHahA47xhYr3fX64HKnD5BqN6+/fyhtyviiGVBXea/lV2faRPiaT1vxBuNeP5N3xHfS4GHv5BUxVWG5Vf4YbrXDxccCBsOPJnqx07Y4xSMx3iyuDNJI0vF0gZ36iTBQnPoiD+vKozz+u6QWsuMqM2YOPXO5N8I6Zib1QFIwLr39HZCwc1zZv3oexe68fxkGeRgTVg4+HirwP/JD5tmPA6+ZCpb6BBUpiTJYo3g0dwo3l5X5TfHtPPnI2BuXkFLhbnAENaLqIAwEKhdkg99z+F36A1qIQ7rEhe/BtBgypJeaI0n+95pLKohNptEzG2inyXLrcC98KPTDLsXW3k3AhFp2VEQIosWe9MvAx7ZeudQqZlNj6WpU+whtU8iWxNadi3XbxA6G+lzAoz23CrPChSiOF+zkpaTMIewyE80jeSfxwkx60pYpqypuGF19zKZAVc/PKY432yeLPXgakATtRxYSGgI+rcKQinKGJvV8OhvB+4+skCRP4e4yd0KkiZd6Z0LQfiUT2eEPze5erL8ejx/WonbMpki533qLrlsU1jy0vQYBaKY/w3VvgpLi36a3WiVYCWgUnjKaIBrzIgGYacU2F0K9HqPHhlikN51QdKISGQHECm8wm/ebCij0U7THJDJNg5XPzvvzktRJQNeswubROFnNmVHbC696JOux7O4bx4nqU0VSBIzEwxQMXIr9j8aoryOIEcpHS3q5qnRco7SF16Gy9UxUY2+H6gRyju37Q1ebHEmaKEfDbrGG08BNApwqykWNoTgtSaoxsqEONJFCNYrCTiUhhTeCuPPI0AMCuy5dbKbbw2tmpgYLKlyiBiQSoCGh/jGgb7ngPUfAGbhPNOovemfYyjoIlUVlOBYWsprtPigNbi79waW8mVzdRyofM/2QE0FZKTqa3gGKYObNwFjxx4zaQoXlsYvDd0qvlmXfTcJksGvAi/dNmD5qE2iZaFtocsAJqY9pJOxNPfO8cnqjoG1WBm/9KmgbeAgdA5trYbhZG60RkxQfrpWNV6GEOLOpQRf0wEz0VFgkqLQ4BUxNjcrrkWaI+685PD/bzSrUQ7iWUwX+7GJYKY3Xk+3YNCGZ2wu35JDoyQlHTVrH4MQrCn3980wEnboG36aN58EU1NDnHpSz8hCksmxCcGPEo6NNQPtOpHlGTacGxGB28g9jBDdNuP68Dj246rbHNjbgPk/1PbEa4Zfs/ZOBDCm2/hkSMgDZxp1vFd3CiYkAbk0SisfjGS7Dy8NNYoC4mWQ239pdIW+FeYpgTY9JLQyQKShTctRQaiez+YSkIQAGj7RryXHqfuJQKaaKQ5RJ5YrVPSJiofL8hPZvg6nFdrtYO6fJtVjwSpYWknE9MM8UALrzwzuVU1qPkRR3V97E+8pKz3asWZqxQEaX+N/GcP5wwP7uj16LwV6Ltg26aP4VPjkB6EjKkHoJu6xzJWgvzbdBpY6d9QmCCDvJydYHvAyX2jkLpj0P84feZ5VPIFQk5mBeBhg1vbrQsr2GRdFQHeq4LXyodGe9cODviz7liefQk7OZAXJNm0bXLCl5XB6xkOBwc+IxyvwsUZly0Zt+L9rT2DHioIdLJ2AB1pgEvMqCNSVqUT057wl0u0IsIG7gfEXLgrhPfNWyvpmWENmkhACggyeEBJ4KVCxigZNZfgLFtzG/ntFn7ZUY1TII+8CtStI3vU8K0nhC5ak/E9vcl8CUoj9878Cjcv3v7/uA3peW+E0SFyScEy0y4fDL5V6zskqyGtV0nAJIwkMUlVixw6B6eyKc+8CqrRWFZI9FAol07Y/7KPB5GADJRkASOa4F2W0K1E+OfQxOfISBSDc0sayz+8iex8rDTrdaTKNeX9QOXKfIxQjwFlx8WppuMPCSX2h9XhiHw3xWN7RiPXLFkFWWK0jvzI1bkZ9+9sINDZBJqKHcaOpszL8L93pBWiWyZezKtZTSYbCQ7JwoF36wh/e8gw/LOedB8Icv+eaaCBrxI/7TZgyZR4owAJ+HPFzyqRnnSCbVMAAPSOGZDG8Ft1702m4gFgLzOJkyFEupYOu1RVUAX/r8XxHw81BPwQu1l/RQFU0K5QwWzM5G6VzESpTLCBG6ys8Ij5mOjsm/5wqsBLkkwk6YowAr732M0gnpx5LrqFEqM+KEFwAAn9XDfHxMORPLpdApDSxEJK4/p4mFwHzKPXtkiGu495/yTZu9NdxhLkbpszsCJR10nK/Y74JGjQzTyPjcGDZiDAW1Uisx35nQzm8MEfJNKHTY5ZJOfhH4v/v4ZDjBRdhwffNuZ0BrI7WSbWElEIoBcGwF5Lc2RWU2TNFFIEoX5Q6MYbZujU399aq6T/QsJs6l0DaB/du6fwIkLB8B4E/a4s/NJ8J/aK8+FW80UakNXTZWK/E3m4Q/aOYtyMPwoxb2ufuZ4COFMT5k6s3Q8DQmVFYvjdvN+3q7NbtOvK8ekBzhpStuhjbG22YpzbYvFN1wCd+w4jMqBxRRMYILy9xLyHbavBD+ZGoknhBGkaI1q4ARMMBKug50+A1HuGF9gIsph9Kq2AODEEf9mBUqAm/uUQt6dgCjXd8WmQvD+5P3NvvlJ2wR1oAEvMqCNSpGhFR6Wq9xHklAYxaelE3imZPY5vQnU4Zl23ueMpoujEjh/JkKb09oqhdMm4YdMtSzylu1Cm6W2xggssxQOWHHleWtfUO9wLxnZm3rPg/m84+zA9+E8jO/5ed6IxAVK76ASMKnan2tR8DkURSPq1DzU8iht19hzwdIR2+HLTrhmhGaaJx4D5uII5Tsrd348eD2dgMi2U2pjstOBJfYwEeC0BjlfIoRGkipIy88Rb5w0MigpoTNp22UOIbkBYOu4+9cuANTcAtDS8C1s5HbcZnDgn1BFX9F7km2TtcitVoKwaXMUvtAsGOT6LbIcUXfw9+iBI+FLo/7tRDEey74PD8TSAEYSiFxAZJYXaS4v+4PZzEi2zfwkcyCvw4xhGpYZ8MAlw9jz3Kb3bUbYvCiVvv8YHzuFNOBF+qctAjQhMzvQsKf62QpQIdQLtrtuYQ6pND95k5mOb3Z52mACzBuiyIepy+qgvp7mS6lSkbDY5NuJJvjhlmxAx8qNtKVju1wmE6sbEN/wdhJSee81YFxIzbIKKKlsswB0YgUf3RijKiJGjWtw9JI+0tbWfIH6Wl2kjdDPb+h/gXzR4cvdR2R891hGIWQwLQkVjB8AoeP5KLMZEutXwzAzAYgLL8qJaatw2tyBE+7LJEbk/8RR0F2cQfcC+KZheuQSJVLaOLzuFmdAA5oSEuYjWPzlTxqBvBIQCZugmbA7dL4dkkwUZKo8YaIQxom7ce4uo6f6yaGf1CZOI82gIFBLBRKhMKfewpxaCwoCc2otPPi/OxR14xswEakXr2sgZCn6oEMYPeL5jmOe6OZUnoMiVfH6Bn+6SlKCiARYdD2N0C1bJgimsLBvgw24JtNQiQZpWXtt4O/IrpnOR4rUkORPh/N0VoomoAsAxZM6mQQlAYuzS07vBMV3MDuHWJ+YvOqanQAWkBsMszMe4GDRtctMHyjhOwt3bSn+axgBjyiZMNCewIlTSe5exYsHkjihhM9D0ppJ/J09FUv1eO4nm3j49M2XF+lmM538m5Q1UPxT1gVIyOMwKgF4465yzzTgRQa0MYmAiD3ObyLdAOcA3hN2hMOPz2v2cyLn7ToFwjWQhOzkl0QHkiaRW/Na0ggepc1ftos8dYrCt4mnxmL/ZUB9DdCaDytEh+9Ame07dOLvT7y9MduTh5oQ1Ba/8qyf4McN62j2+DY69w8apOeHJF36yHOXPYmWhH9faPALrxrazoWeuSdWdxHU2aNAbkX3AkV9BWA1e4RXdy1Qsiog7MFQB4JwZ9lCm/dIfAZzgF4c3jEVoMMPMtEQUkEmGlJohAdf0kRBSgWtBVrtFEoLJPaAkLJ8gMoNWqEsn5OkyuUjd10H9Ye5xgm6BtAWDuhTc03j/nBC/2Yz97jAHLBOR6xcpCaMuTFh+AFIbQAKZTqSmyETFbIT9zAazn5X8CgGuCTmx5anYE5aafNMW413Ak52u3Q5Hjll8wVO7r+sO5+lLJhCGidcXuuBtZxi3zyK6WU6THQNeJH+aZosp80ccqgu0HVTHqKF4cJVG+lxc91rObYMTQwAo198ZtgXOjImRujgUl3ixZ4Hl9B6fJeiC8XJEWv3VOYsjH4HF2z9ym1ieef2iqTv93LlxcrkgoEeXrUW/sUnxVKYLN61TuC0L1w4n1BFWI7wnsUAuyijF2OGA2rN8yOMzZ/4hHnXjf6CGtU+EHA22MnvkBbFVdWPXntibQ4pSOeVMaBKKjmE70ah8Cf4prx3OQ2kdW/XgAY0XUSO1s0NzMbIOmMv5Ovs5BzTShGCnpnfT66dg1qSQwizccy1dJdiJ+yIEmlAl0RopFKhnuZopBmyML4GVGZAGGU3SY++N3AiG343ukN4VVz+PBavKk5wkfYOnaByJ6nC55F4roggjU/h4tPDIlMZ1iVr3uZYPBlcCNLE+pDMXCgB5MII4UNmxYEEpg+cDx0mdRJWuGBOdtoivZMl1AY2+XOtEGlPi9IOkaejtszKka5LkK5OkKw13jWT9RPbsjx21KmlvqFviIQxTvPA1lEL6jfOqHe6OLPCwjn4EnnX5UM3Nr0VJKmahk41ktEtm1dZdJ3vEN69v6BPSywdG4+e9tQ004AXGdDGppDvNifeK+JE9sGdzOvqFMW8HjE5KtvWFwDNe9bhspMJxPbkBIQE68Wvlw07sEMl8E/F8//B3rtoEAtn/50cJkhXulhczw8H2L0OwlkdeDkFkFDO20sbWbJLdQ/fLy3DocPwoA/CPLy2UT0kov1jXi77Hcs/JI66EGDC35Mwa7CQln9ItOUdzPwtwnUZBc+cSO0Ak8RqoPADIBAw4IjUkIli6QGlBLJ2oT6V7LYWqqGgahr5bIWxHdvI50zMxvSDZxdj1/nssWZBySSYbAskowLJGCDbRsPDya0qZFXlPq5+VIwLOBCU5HVQwjvs6L7LTECn5l2QT48tlXa/uIndL24G2lHwxntJhhfORbF5p5M1lkmkAS/SP20RmiaOOBPQaVMONglVbfIrGO7SSTOKa8NiixmFZUOitLjc99nhcv4sn2h5FB5dpHicLl9DhFnqJX7Ydz1pc8TK6Fq/iud9CsBjwIQLB/zJz96Xn5Uz8PgSW9de55/Q9FQUBAmDaCzZ/aCXJjImY3URmgElNq+x+QK//NRwJHbvdNeXDXBy8BHLzaIMsksqyv1JdQvHdtDnUQqYarqvQvr7GdcAcNAHl+OeL26+pyoqKcKId4sfA05Kz9BnvuMks/h3LmjAHAxoSolO4XNmmL4Ltn7oXBQn/IFCuGAdFjv/a7T5Y5QKhVxIJEI5s1x0+o68lwhhtE0SqZxJr5rMUZc5RnPDEv7hz9uBBOakSfDo+wqwxPm3oDaALTwuEmujR8F3WHquK8Ir0seo54U28jvMPhbu5e+v1dE1q5Sf6PK8Sx2q+NIYCfLXESksdPLIGFJt60mn9ZVKUJz6tAymHYNCAgIaKo+U4eLDaZcAwgg/NMyYJqGJ+x5MrOwZbQMu2vTZgswAHxMgSr/oumUQIRPgqk9jOWCmQgacRY9TkM6l1Z3XVMF4RgE4dfNEIx8yiTZ7x/AVFM55jrTowvqzsUtTVyBEnIiJwV5pwIsMaGMSmQCSYyjMBQFmPiIfIXSPyLInWdo6mxo5QEIJrTBRZEW4zNlzEsZqGIEtmTlSzMlyygSJNv/fXOTvR1Vq+BqdAFIWTuJp30FnAIDIni/cq8CWI1H4mRPWrBj5XOF9VLG3BOVDv7k1CFZkRwFrGBaTB0TkExCBX1Vb6V7zKv2mbOhHEgmkNRx+H3WbypzWjBaA0lZjyJjRDNvEtUsosSSTXHZMJWT+y2mcmNPyBKLQ3EvaJ0JoAwAkgE4MiEKHitqZURNqj6XQdQ1Y7SgAULPyCfMi5DtjjwuazmQdgSj0X2b2t+1TrYTnN6NAMtH53RJxuRx9f8SXqQKUkbnl/wEoaAfmkNaLahQHOHZdvhy/P2nLk4uUgOakCBManl8kT+Mk9n5ovGsY+d+0gSYDXqQf2uI0TQCUTOxwXxTmHt59lEKBLopJyMuzC3UTGB7wkSYO+Eizc32q8uB1jNS36wl7weNG8g2vXkjAn9y9+viXd4Ssy6Ulu0Q5r/DkBKG8UU2P2GmSII35XZTptStyefXr6SqXHb34O4m8t9K7ib2v2Hv2mJVOL7Q/EsGYIRN20b1qVVv7LjSSp6WeBPaO2TaVPOiDyydQmU2PnFku0dvnHgP4Ssz6JI+rbhSePK+6BjSgqSPakRchK484LYhCC0ZZ6wRASahHmiVSGPNcdJ9IjUQYEwOJUEiYVopJB5cuFcr9pgv2e+DlPeeWi/GcWy7u2sSJU6cJYhK+0W51rOJruk58PZbPm9dp3ZtIGbG8YkcSS+q1KGyFuxOdmuVjxqObK8PsmF1xcrQtePpIuzwTSgLFaVNnmoNppUwmLyLg+YTpSBQvdowXXerl7ZZRweyU02ipPV8vZM+dNE4AYPGnL++e12ZEi69f1tP78k5IxuIH37jWYtr4kQEvMqCNSTqxpoXqzKyMAH537rDT7nAUTnl8D8yErkQqMRfHlrm/EwJHSiepmYYJAMjQGgaVa/2nvOjw5cbsM7Up1U6axeMpu7ePncj3ZQ2ROgHOvBi1k7FnJY0PT6ZAebF1S6W2LwgAStgVkTc4XzFVcgmXXhdXSr/Ze06NlqKqwZk903YNobUkdim6aqq46sq/pzB3aai6hq5p97vyqhWXrmkgtZfVJuHmqKIkdIkfVlogyyWyXLp5VCljhjRXlj+WhemtYIgZrRNhwJVGLUOjlmGo0cbQrBbkUFaUWzPXZBH3KRQSCdIBX/5UAJRcoOFfbswH/GwnFoSPccrT+XazoAppwbTnamRzTGa7LWv21eZNnXa7pBmXpZE2dzA/eHMFInNHLHyKacCL9E+TBposXboUL3zhCzFv3jxsv/32eMtb3oIHH3zQi6O1xpIlS7DTTjth1qxZeMUrXoEHHnjAizM2Nobjjz8e2223HebMmYM3v/nN+J//+Z++69PpPR94dPFx9wOYxBbe1Jroik5CYViHOv38S51RWgechEWEQu5opI5Zo6OJoiq5RdWFYLJg91XgRTXQ0NuluoEena5IWpV0ytP2FfPJMa6rS726gTDe6+hl7Q4WzOhpmw60/wmTsyByU11O3ZN8/8SEUpM1X4f9Fi5eEQrlI/z76Ac4OeiDy3HQB5fjwKOb7trUqGdwqUu8KCg3DRTyjVXXgDZ9mmm8iCkQ8Ae9ucg2f3wwikgeKMAUYXl0aUwQ5EoitRvCepohTRRq1jRBCIpIuwBImI3nUJIhlQpzay18/+VXOIGjY5yZRsIuNy81rahaRLp+SP18cR0Wvl6yr/rIq9aaXoroVO1+J5HxzH9hG8JNmwjiltrJGQGWRlb8dnlWNE7DaZBwsxmew3XaxIsAiOH10SxDBuIIOrmXGfMUiz9zWWXX9EMr389OiZLQnPeflaQIJwBj9ZLBFQsLTYdwYEr4QaU4AAOKNJwWhQBQUwZQsXks/lzv/fGcT12O53zqcux+URN7nmuuTY760AaJnV0jIcDGEgoMeJEth2YkLyKNdgntfUmwvu+pZi6IHXry/rPfZDaLa15AsPwTP1zbtUWLyDKUszjanLC//3JrwogDDKweB3ykWeyZCfDhsgVZpAmvmKyBp6W6emtCbP8eyjM67Ok7yiHosuAKySEIbOFABgdJDCgCDxBxYERHMMSG1TR0nS5lroYC7H93DbH/kQtDCmjEL5dvXUHX7BULI+AkNQ7eRaILk1xJwVsQYEJmaundcJ6Um6Tl8zyliQmGBYo8EmH46jSxPHRq+yctytj1q10OEfVIvzt32PBRIWjHvxECEl2j2L0WcYsugcwnCqJouEHMwU5K7+Q0dGXm2/R8B1nTvc/9ZO/8xN5nNrHvKU3s/Ykm9jrbXJsalb9j0uYq+DxP5hfOP0RcW8jeT4t5rh6vARU0aa/lxz/+MY499ljceeed+OEPf4gsy3DooYdi/fr1Ls6yZcuwfPlyXH311bj77rux44474jWveQ3Wrl3r4px44on4xje+ga9+9av46U9/inXr1uGNb3wj8jyPFduRSotkQBww4ZNSzL9FJ7r3C8MuH78AFHKEsrykQ8UrwoPF3fMBwRftCVwcQHEXAQQhkxC7OjED4cUAChUwCb1eea3D81rFlQJ5TUCl5spr/kXh3pWY/+HJEM+meCiA6HD1BezE+rjDuHbDRcev6CkElqbn8ThO+vmXTvLroQCZa0jrpwYhcxCrz3hn+PD7Y99nx72zi9ffBnuz0UrpU64QO2ERjunpBE5KvgwqrgFt+jQTeZFiAmFXaBLZTerwNj2ePwkWVwqNJFEYqmdYMHsUAPDDVzSRCuU2jO7Ef0RDhS5t85qdtDA7aZnsVVEPnUtoVcEqug0X1Zk+dvasV/S/inTk/2Ry+GG+G4NiG95u3RbjN5y2SCQ+eFrNnusivFM/Utyw6uQbxjosFbIQeMjECBtk6tshl4mCkMoJRDweCsX4dOBDWxQ+QSZxM+k5HNfmj6uXa7d2Wh7uklW/Ax7dvZ/iGeDzG5q9E2O/HRYw0V5famX6TqfaCKlIoNQjLf7s5IBNG5V6AEyqlfyL+dWt98HcMR0AyoAX2XJoJvIiZg+pkdfh/I8ko1bwbtcOAi4csfmKTsWrmtVWSdlcxoCS354/XMhVyF+CZvsBWwb5c5CZCZO5cY6djhR5GsEskK43dZaZRm29qUj9aaC2ThhzQnTwkcsAbDs9UCImJ7CaN3nDXKoGZLOAfKi4D+OqOqAa5srDa4j+a+RDGtkse802V24vus/maORzFLI5CtlcfuXI5ufI5ivk83NzLciRLciRLciQL8igFmRQW7XdpbdqA1u3gG3YtXULYpsxyK3HILduIdm6hWSbMSRbjyHdehT1bUdQ23oM9W1GUd96FPVtRjG0zQhmbzOCOdtuwFx7zdnGXLO3HnHXnG02YNZWI5i99QbM3pqem2towShmbTWKoa1G0Vgwhvr8FhoLxlCb10I6t138n9tCfV4LtbktpHNaqM1poz6nhfqcFhpzWmjMaqM+q420niNJlbmsQ3fJDgbF+F0AlQA5rQO0DBgNVIFcS6exnSQKjaEWavNakA2jfiSkcn7+JoN+d57R9FJ1ONmSyItvhkx36VrBb9DBDH6IomgYin1GeIUyIErC5YhBXu68iPVJLFvCgCeZcP6IeqV9T9n0AJISscMxnP/zeWzGw5b4+NgLsP8sADPVNOBF+qdJ82ly2223effXX389tt9+e9x77734u7/7O2itccUVV+ATn/gE3va2twEAvvSlL2GHHXbALbfcgmOOOQarV6/Gtddeiy9/+cv4+7//ewDATTfdhJ133hn/9m//hte+9rWlcsfGxjA2Nubu16xZ01N9Q8CEI7JR8APFYh/Oxy9+33Lce9NJ3glyLQS4TeKeDkcFY5Ono4NwdPotmoYYEv44mBAri+YbdSrHq4sVwmhdnlArSFfkVRTaWz6d4vZqXqycjsUJ+rDffEp914Wi76HfeYkxtT3v87oBEdNIP7/hJO/+he9fzriW6a0Lp/AEVKe+Peio5bjn2pNw0FEVwEiHtAce3SyZCZyJ5ExzBdTzK2Ky4ugcOF3vupcTpdN84nRAU0MbixcBuvAjofCfU8fFufhPpo5kolCvZailuQM9AODF3z8Dd772Mhzyg9MBwIWHzuAlCvNcip6zjzGt58jGmF2NiFBfc5CnVF9RThdrE6de1qdYWRreetiRwnid3slEabz8TTRdsDCK8FkkrvBvq/MX5X4oxdfevSeUEJE0FCT5Tloam+VhPhpxM1kCECjssIu2gJo1MeerMfI0TgDsctNSA07oyBju9k5Zv0RPbAc8hfMLxIGrUp4o3qFA4bdDaueTZvHnLsPKD59stHAS01eu+g0FYX3NqJopJ5utUbcCn90uaeKR02Y+L7L4hkvGl9COMfOb/thxBxEVsE0pDXiRLYZmKi/iaWTAAgkcjOZzlGBBAu6wBwEP3C+KqgHSnLvArpctx+8vPAl7f6JZKVdwxbDvU+RA0ioi5nV4DqfTDUB7tjB+UrQFewjokXBAjGtf1f6cAdix9nppRDmuFmEc7ceheLIcLyzDO51utRpdHNLaZHUGaQsznrAwi1n8hl+MqQ8KP3dEaaK8ezLfasy7mnDiJXO75igUJlwltMc/JkIjt/NcrgTSxGhCaw0oewCnnSXewR1y3u7VmT0TQkMpCaWFA8aFABLrm4TCaX0M2+h+x4ATLQyvoQS2nr8BG1p1CKGRK4lEFH2kUuPrJM9ktW+tCRD5OCEi7QuBYJwGrElV03pe2jhbxgAVelZiAWM8m32+27ImHjl1GLtfZL77ZJSlswCpgAnXifE/pOpFe397wcznRXa9bLl3yEeLYs4J5XIifEkziQa8SN80ZY7gV69eDQDYZpttAACPPvooVq1ahUMPPdTFaTQaePnLX4477rgDxxxzDO699160220vzk477YR9990Xd9xxR5Q5WLp0Kc4777xyBaomD42ugEkJaGAbFp0Ad91wEl502HI/XyrTS1sAJ7QvjX03JdNcIpiL+IeJ+BjmewFOXv1jFJlsRYf4UZCiX0F3p7mjstwe4obt75BX5frZr6Cji2AdQFfh+7gFx53eafisqs8je3W+x5wuuvv6k/DCDyw3K7ESU6OaGBVWdk5Suc7Z8ErAJJK3EQAVvX3ghwpAwmmrzTCKyLGCCPF0lf0miuHp5sNpWJM9G+cd4gxo86Pp4kWADvwIUT9jrOrb0EDWSrC2NQuPvvcMHPDdsyCERpYXIEdizXVxIqfvtJFVWiCVyvk0WdMawrf/z1VFAgHotpVGJBoql4UtaC2MwJZvnGjhKMnww91Dh37g/EqnuSHC63TNJ8ar9ZoP/Z4UGu9E0yFdab0PQY0uDAHFqZrgSTgTlEdCDRfVxhPsOZGCgtayfHJN2LWRFakVr4sBAJK2gJoV1m/y6dH3nYHnfOViCJlDtSUgfAfjXteK+Ftx/lJKDxCMQ836MiijC2OpU20Fhybe4i9cCsrMnEKFO62oE+0571WzFfLRxPFZu1/UdPV66KyZyYv0DIzyJFXDXhSZFWZbpocBGPAiWy7NGF7Ezq/KSoDcfktH9quBIFAI5p8DMCfitTExtNulywEhkM2KrS8oTqOHfIKVrVD57TkCv/h0MQ/ppDD5JdtANmSsYIwtAHK7JhBwY5VlC+IaftxUFgmhhWa/Wdv5fxaHawbyMry4tk+4Xw7nuwswGoJsvZRWAC9TozXBBfLSrrG11GgVScvHJRYYkbYjCUBI2EGFXEkklscTQqOVp0ikQk3mXv7EBwLmAI1nwlVoZNb0a6YkWipxh3Aobj3J3W+i0cwMLq0FGmmGsSx1dSB+NZEK9SQzWh1CYSjNbHcaEIbalmmJVChkWqKVJ2irYjGjcMPXysAsVwHuEKhiDgoJBwjlkIbn0Mb/yd/WzUaaGLNc5B8QyKGkyTdPJMZ0Wq19PYn02wuGnQlN0vAgSyf8cCdRIecsHLqHgCXX9uLWdTwK5KAumOYCDaMRa9Nr+5tAyl2XL0diC87rpu6AiZM3ABkCtLr4Rvc6p+nmpQfPmcG8SDBX8Hfigav95One3yTVswtNBS+SZRmWLFmCm2++GatWrcLChQtx5JFH4qyzzoKU1d/Mj3/8Y5x00kl44IEHsNNOO+HUU0/Fhz/8Yff8mmuuwY033ohf//rXAIADDzwQF198MQ4++OD+KjhBmhLQRGuNk046CS972cuw7777AgBWrVoFANhhhx28uDvssAMee+wxF6der2PrrbcuxaH0IZ1xxhk46aQCdFizZg123nlnL46IDcSKSSGkmMD7he9fXm0hoB/GXhQn7p3PkqCssOzoKQjNgAD+vJfNfiR+r8CiUxtEUX43bRanMVNBlelLkv2KND3WvcQYdROcuIS9l9ETTZXAuNsYDNs/U4gYSctTTqh+MaHYZMmrWL7dTnn08j0d+KHmjANO9j+x6X8fXeRuRKJTf28kYUAvtssHDs82P5pOXgTojR8pVzJYPEP1Ra3LJ6Ltz0XXLUNjQQP1JHcnAAGzkSSANpEKgo3tXEkIYTa4Q0nmNrrfeOmnARg7zcZEkBVkB4xS6Jy+sh2x50RVzFcv61avIEc/ROn4f/6sI03hpDbeKanE10WEWKVqR3bYHfIOx6O2Y5XbdnF+OGJrQse28TGm3clb0piYatK5gKzZo4MVRRbAUK+Zwm22q9IVzst5QUEerHxtTXh4cT1TEAETQvcSUHV6BoCZGdn1suX4/cnBQa6NTItvuKTvbyEKmHQIq5zXJpkGvMiWSTOGF+HLNBf6WSGq+wSqloJg703gyXOusHIRHczTAv4hOD7H0RRkha5CmTxXXG32Qntc0PSnP3aj6gVgYhyma6d5x9eYsv9SXZggC/bBmmsPkFBUsPmUOXk2cew6R+2TtO6ZiUVaLQin+WHTpbUcSglIq9GYJAoasP4zlANRgEKTomEBBQJFUqE8YEFY8IIDF0oLdyhGCo3RPPd4Pvpv4igoLe1hGpNPK0+RyhwtkWIoadt7Y/6VwJO6zB2gwimVCimrK9JCuzmVClligJi6zJFpibrMUbflqmD+UxDO7OyoTNFioAmBOsqCJjxNrqS9BISgeVcBSpqxa7VYijW58HGitDC8s9CGX9YG3BIixxhS58dt2kgX3wjxVOagd8BXW8CEgBDNHpGWmCCNLAIziIfg3zzJNxS878QNLyoj4GvoG1ApnPUpp/HFAJoCWIQz7yVUAX4CwN5nNfGbC2eWXGTXy5fH5WeWfXD91e9ehE890waaTD4vcskll+Bzn/scvvSlL2GfffbBPffcg/e///1YsGABPvaxj0XTPProo/iHf/gHHH300bjpppvwX//1X/joRz+KZzzjGXj7298OALj99tvx7ne/Gy95yUswNDSEZcuW4dBDD8UDDzyAZz7zmX3VcSI0JaDJcccdh1/96lf46U9/WnomAk5Wa10KC6lTnEajgUajUZm2o4aJ/d0P0fi568uFtgnRvV8Y9k6POwfXEQrNE5kEfVQksqnvwNuUKdyUjQMM4DIe/r9UCd1DvFi6SFm9xDUJInUIN59VefZTVg+CZA+g6VCuJyvrQBPaT/WYth+B/2TR3dcxU1eaDZ1u75dTh/cxroVoAotXCZiL5T3D98aeDLQXkCQWT/txNoqWqhbdB/NAULHZ0XTyIkAXfsTbkIhiRxErR4niZKI9Fa2ZPwethdECAfDQ28/Gwbed6aW//dWX4aU/PA1CaDSSDJmSBfMrTfpEKMxOzbHMr7z4C35VK9ZMckDvC7V5nHLfcFMKHanT2lr1u1M+VfNv1fNu87WjKZrA+t1k9UI959eBeaviV5iGSUngbF+2gvKdtQbpTFQ7tmlHTv3ABF9CwJzOnUQb4p3o0fedgd3+vwupxgg7wY3lSvAvUk8u2+DpWVwK17bIsuC/ME0CwIBJvBqhHeyKU1c6MfbzkRsBi04KnwIzkkIeulPUSJ+ZB7p4lZpF1O7P9NCAF9kiacbwIqQ1wYY817ToiJ2zoes0LySQW82SR045yWitMfrNhcNlJ8+c9VEwAvW2ub3vc76QVLaNfxACZ6wCA/KGNdU1F8gbVrtDaejM8CjKAsMGLLH+Bsh/FusL71uLmcVyfWN8cVE/gM3RwgIbSaKcIF5rgTTNkSuJoXobWS6R2vSkedFIM7RVgnqSQ2ugnuYQQjutD4oLAHWZO+1gpUVJu6PObJgphlIRGAIAQ0mG1OZjnmkHrABAS0sDaljtDQ6qUPy6yN2zVm7qLmH6lQMes0Xb1SGVBXBDoA3Fo7KGknah7cLAINcPiWnfUJ5CoTA3q7REpiUyZS4yE6a0QGZBEwBOG6WVJcilhrCa00pJzB0aQ64kRtup01ZRWQKkQC60004hk2jTCWr/7rxh7Lmk6UAO2RLmwENpbQegjW8f7i+RthEACm0Q8kFi48k8yIcSWnNaHtF3z3yjqEbxSCthTPQRQMLWblUr7nVi8tCJxSItYCrbKMkMZhTF5kc+p0h4sh9BvGykPbEzZgSETcsBoSngRX72s5/hH//xH/GGN7wBALB48WJ85StfwT333FOZ5nOf+xye/exn44orrgAA7LXXXrjnnntw2WWXOdDk5ptv9tJcc801+NrXvoZ///d/x+GHH95XHSdCk65fdvzxx+Nb3/oW/uM//gPPetazXPiOO+4IAKWTEU888YQ7ZbHjjjui1WrhqaeeqozTM2n/NwdMonF4cA9j5OAjfcAkBFAmSuOaMCL7o46aG3RNoIxSeD+Cik6XpV6+6Z4pBFJi4ROlbv0zDqI+mFBfjOddbyQSoT5gN6F8+Gyy3meP+XT9zjZB4r5MqmS7pfBY3/cw304HkRpqt2tAmw/NGF4kJL6L6ScRY76FKBxEL/7yJwEAuZbItcRrf3yiuVfSM7PQVsasAZnxkr3UQYQ3tBCVo477++m0NnV7FvvfqZyeSQf/6fcUTxKd2jIZRYuK3z2SA0fCjSD7b5xHmg2xyqW5lDDmLAgwZP89AYRmP3j9Yo5Op5PYt9KzZkkvVNUo7z3p6kUYcH0TOznNk4XJdaqdg3pIFKe0Zxgt/lIHXybjYYxjn/a4N0T904AX2fJoxvIiQPl76OET4HONsAJPoaytfzZ297igGUkc3FspFD8dT6RqcL4D6DNXKZDNNk7aR7e1gEpq4umahqpZ5+uzNPKGhqor6LoGaso40U6VuazjZnKorVMFpBqipsyVsitRSOo5kpoyV6ogU4W0liNJjWPytJZDSo0kUUjTHLVahnotQ8P6nqulOYZqGRpphrq9r6c5htIMQ7U26mmOepKhkWSYVWujkZq4Q0lmtDASe0mjLZIKZbUzMnvlTqukLg04klppuLSaJMW99jVSUPi0k+wl8N+Z1Swxr8yCKVK53zw/nj/F4cAJxeFgjPcMxT21Q8KYImskpr28/alQTrMlFcrTriGTZWSijA5xCKGRWt+A8xujmF1rYaiWIU1yo+0jtDcXcyfzKpPT6yQ7+NYK07j2uebPfJaBhPbcFJewpr4EC3eaJ8QvUBxlTYPZ/8b5OyDaxn9R0rL3mQV1MhMu2zZu7ucL+KACYIATCDjfSvyaSbTrZcu9uShGXts4X9bjUJlOPrcfXmTNmjXexf1lcXrZy16Gf//3f8dDDz0EAPjlL3+Jn/70p/iHf/iHynr87Gc/88xPAsBrX/ta3HPPPWi329E0GzZsQLvddqYup4smbUhqrXHcccfhX/7lX/CjH/0Iu+yyi/d8l112wY477ogf/vCHLqzVauHHP/4xXvKSlwAwNspqtZoX509/+hN+/etfuzj9kOCTCorfHQ+HcbkA/zBYWkp/15dPqvx4SoJfVkZMy+S+zw575fCySvulTh9VBHwIhe5RIXw3ECPckFWFd/nvTqf0ePVM3QTp/Hdssz+ZFNa7B0FFrK2lPuj1HVW9H4y/j3/5qeHeIk4m8XEfvrce0nKKfvOd5GK9lNNDv2shvCtMO2EwbBqpUgATCtG4cJcxbV666RYKdKhj32NrQDOaZiIvYirW6ZkoManOr4ES5kSYEtA526xJ7VThf/66i5FKhWfMWedlW7PmDtoqwWiWYjRLMdJOMZQaRvSJkbklLZPfv+tM41BTwjjy5jwQO50WEvlxcKyP/djNJpWFeac3KbzimjaKTQLh4jMNVeDE+72fqnSbzwKe1r8J2s95B9JS0Gb8kWo/FxzQvQNLMom8Zf6rnJsCsGOaS/u5MAACxQJi807M/cpjP96lAyaHZKKRNLL4w04gBkURwdhH+b6nvBiToDu81048jhOMsIjCau3QyVQjEBGQ06TN0xfF9hkV5G29eKd4jC+Fofv3Mtk04EW2GJqxvEjVnjRcBvhehpm5ckAGF2xavuChs4Yh88C3CNvvQMCdxibfBdBAe07Zt+PDp5t7ncCZH9fSaJnoRJsr1VaTREPVNLL5OfI5Cvm8DHpWDszKgaEcGFIQdQVR0xCp9kAR1C1QUsshUgVZy5E0ciT1HGk9R62RGYDEAiIGFCmuoboBPRr1Nuq1DHMaLcxqtNFIcwOIJLn73ahlqMkcs2pt1JMMQ2kbDft/dtrGUGKAktn2ngATDgY4IIHuGbjhgAhoTxuDAxJFuHBaKEZrpdD0AMj0VeHDJDxoQxoYpBlC+ZK5LCkKnysEetRlZkAUBmxQ2yjPRpKhIU0/1YRCzQI+UijMkm3MSkyfzUnHkDLgyGjSGPCEftN/0naVonBuP5QagIraNVQz76xhgaxEGp8maZKjnmaoSYVEaON7pqbw6PvOwLQRgYv225JZ4eeEgAyZlWUmDoyke4pHIEruXzKzgIcFPSiuzG2YLTsdAxJ71daaK11v/idjJm6Ytwj3DwLORJdKi/mFXzOOOLvm5kf2XURkdp2Ak1DGa+a57vzlpFAfvMjOO++MBQsWuGvp0qXRLE877TS8+93vxp577olarYYXvOAFOPHEE/Hud7+7shqrVq2KmqjMsgx//etfo2lOP/10PPOZz8Tf//3f99XkidKkmec69thjccstt+Cb3/wm5s2b505OLFiwALNmzYIQAieeeCIuvvhiPPe5z8Vzn/tcXHzxxZg9ezbe8573uLhHHXUUPv7xj2PbbbfFNttsg5NPPhnPe97zJtQxVQDGROngI5d738DBRy4H6h04emFMEI2HdMjY9LqviTFEkbwn+/ukPMP/9GxSyO6rS3KOXvPvpc2UXz/59kkbW2A+Fe9/vFSMlcJpekyFsd88K4kzGF3K6Hce0d3U62egbAIA9v9Ys2Nf9AJ89DWepoM30N1PBQ3siG8eNCN5kXCMRybdSufRYT5cCGtBk11uXopnbFuc9nvN7cMQojDNYcxxmWdtLbDDbAOu3HrI5+LFKGkBk6QolG8USgJ+M0lXmi1yO4JIYRv1s+MdGmMoNkJ1+P9O8cbTb/wddo3U5XEv6yoBHuHcq1F8A845sAjSFgNN58LzyzMdlEiFtJFjw1gSH/M9Mk5aR4CSGDFGJzYX6Ni74xttug9BsdK3GjxTwgldpsZg8/hp8Y0Vvkxi74MexUCp6Kkkltc00oAX2XJoZvIiwvvpC+tQvecVpeQOxOCCxF0vWw4phEu6+4VNeLJPEiImVpCamazJj0lIKkUxzzGfDjoBamsF2vP8iUDXFUQmDBiiha23DuYMEQCx2vM7QtoIzrcIRbeaBoCJU2gfGAfthRYDkKAw6wR01+wNnztgg0xdaqsNogGrGmjBkNyF8/8cEPHyFGS+qzDblalQOq2KOCibyqK8PP8jkSmLt9/UmmuaUP2V1/YaaZUIBWnzSOw9BFCTCrkWLiwTCZJEI9Wi1A5XR2bqSAjtTosPpe3CvJitXy0pzJchh9M6kdAubZJUnByaIiod4LZgiKaxqopnpf05+745eEKAhXe4nM8FiuEB7PvjcejzSGxddG4/MwkoAlcDEmCsHmeh7PfpDlb310VTTrstaxq+rNPSzOfNcFsxA6kfXuTxxx/H/PnzXXiVGepbb70VN910E2655Rbss88+WLFiBU488UTstNNOOOKIIyrLiZmojIUDwLJly/CVr3wFt99+O4aGhjrWf7Jp0ljkz372swCAV7ziFV749ddfjyOPPBIAcOqpp2JkZAQf/ehH8dRTT+FFL3oRfvCDH2DevHkufrPZRJqmeMc73oGRkRG8+tWvxg033IAkGT/kqIUwAk/2UToGwUWiuOZ/p2HEP/S7vmxAkBe+fxLNc02VgJ5PusHGqh8ePQRDqohPjJVlhExaz5WIFRj8Hy+VNsdd4k6iIKiyjyaBenlXMZpOLRPn1yQYqxxw63Yok6gnsKRD2HjB1m5gycYVEnam/U9odv4WQ4FM+BvVoEoYPp1A3cD56pZDM5IXUaJs/iYYb90BE7bo0jdKfA2MtgkAvP4/P4bU2tgGgJY1x0X5/+pN52N4xbs6VzcXSBNz2j5XopD8KjY5UH2i6mfwhRVe2EygHhaAmU4TqW40re78frw0wUJQElQHSWnsCzgNE60BYU15mUhmPDlxGzHpVjCA2TlWvv/UDhWcXPrtW8/F/v/vbCR1hbyV+ExIlWpwwBSXtB5iDAzfYOsCJOLpoyyFW0+thEEH7ySsGyxPkws/rf0vrEm1mUKLb/wkStLbDk0k8kCqUCoc3YywzKah/QNeZMuhGcmLkNA1wqdzjKESMAk/IZuRc/YM4OEzzJ6R/Js42T3JYEhjhTl9riLZYk6lFTv53jKVNSa3NCAB0RZWkmsqJ2u5EwzKVEFl0vobAQNItHGMzQAQYUEUqrKUConn5J2BI9b8lII5mEImoUjwXrPO0AWZsrL5p1DOPwk5TI86QWdCqQL0EJBOqyNxztsJhODaI4AFU1QBImRauvTuOaPUpZWuTPMifSCEa6zwNnANEwJdSENGQmMoadu2Gg2SxMZPZY7E/p8tW2jrxAEqCZTVElGoiRwb8rorryZytHWCRGisy0x4Q2b4a2uu1WKpIxUKG7Ia2iJB2/LE2zRGMDtt4W9js733WmNtITKmbY0J3Lmzx3DfP1yI6aIHzxnG3mc1oSR8Z/ChvCMEOADvO+egh+Z5IYjLTHzRb56HCMKg4bTHtDRm9SQsP2G10ngcoe06TXORYPWz242ZZJprt0uaHghiP42C3Ddq556QP6mQqXjJwPt0etb/fniR+fPne6BJFZ1yyik4/fTT8a53mT3m8573PDz22GNYunRpJWiy4447Rk1UpmmKbbfd1gu/7LLLcPHFF+Pf/u3fsN9++3Wtz2TTpIEmugcBoxACS5YswZIlSyrjDA0N4aqrrsJVV101ORXrMFi9vUufQvvYOFNp9eDrScOEJq8wG8J7Jus7CpmhPjffHUGQzZmmCMyKaeCUAKlJKLsfjY2JandMKvE9c5ex2pMgvkOcrkDJFI2BqaK/+8dL3e///OYpHePuf0Kzt0wrAJNOfV8JmEyXnJIxkx3jDGiTp5nIi1SeGu8hneCLv9tx2FslSvNRK08wmtWcSYVUKtSTzNuMN5//1Y7lzp03irF2CgS2iCdEm9C8ucVSZH0jp7b9pvPCK+Z7Z4KOLR4OKIDo+TuZSqrVMwOalI5lR0h3qXMfJwV60k7RwgoehBfWSzonONVwzl5DnwKTSeR7CQBWHnZ657g3UtxJGAC99kevcSdKA15ki6GZyIsAgRA0VkU+Z1fgw1WaJ1429gR6dDzbuPcvH+5YV1WHM+HDTQ15gltrpku0EqeVqDMJnRhTSvlY4oMhNI1L7Ry503MHpICAkQJIAfj/wI8HfD8hvfiM46ADUIAXZN4KgANWSvkxICPTxm+YtJJp0krhPF9mwyU0ssDfXQmoQZGexw3NcPF0XPMk1najOUK+SoyZq1wLNGTmaZPUpEIqcmOeC4UWSGL9sgDAkMiKPHMDpORaoiZySCtIa8gMbZ2gZhc3AyoVdUykxuy0hTnpGNa0h7x3JmFM2pITeSE0ciXRVklP73UqKIbzC/abr+cA+04CcMOd3eBmuyL5OnBEBc+IV/CAFG3BBGHADmHFmQxooCxKB9Z5ONjcMoVL8e4XN107Hjy78/zz3KXN/hxZTFR4tonzIhs2bICUfoclSQKlqpnLQw45BN/+9re9sB/84Ac46KCDUKsVyPqll16KCy+8EN///vdx0EEH9VexSaIZhOVNLbnT3532FgEjUHXF6O7rTwqQyP4G/AHHMIGlDsqUU/z9iMg1nRRMrD1RLx/7VFCIrvPfYX10xVVBhOyX1uRYOX3kGyuj17gbxZfJVI2/SD8Jrb2rMk3sfW+u1KltEQYLqB6z3ngL5U0VgrSpodgkN70T31NPPYXDDjvM2QQ97LDD8PTTT3dMc+SRR0II4V0vfvGL3fO//e1vOP7447HHHntg9uzZePazn40TTjgBq1ev9vJZvHhxKZ/TT+8suBrQ5FKlk98u8zo51db0OxfWv4kRDITz0b+/cjmG0rZ1ZGk2iVs1RjHfXt3o4NvOBGA2imk9Q1I39pshNZDwXRXf5WwOtLm0owuVprpg/gvWOuf83aOIRK1qHtdBGSW+m20ytXAaWQ48yQVELvDYB6ZPy4Ro/YYGxkZqjDlD8Z+oathoOB8tDhxip4ZL74F988KVUyygUX8olC78HeNbCGyN8UG52WekI+aaeaSjP2NEfVSeZ0OJbokZHFfN+qeNz4sMaMulEujA553wE4jISwqhpklAGiDmIbzv88GzhyFDP74kNO1hH7XnuU2XhoScWliTXcI6ot4gIVoScoPRHhCjiYnfllAjKaAFRGJMNMmagpBAWs9LjtyTxF7WcXiSKKT2qqW59z9NlPEzYn1cGL8X1uF4kjOwxVzcEXlizVGR2SdykM79koRgBF3hvdICmZbIlLlaKnEXhREA0+m+9EwXcWJl8vp4DuWDOZac0tet43ryVdKwPkhmJcY/ydxkDHPSMcxPRzE/GcG8ZBSzkzEssL/nJaNYkGzANsl6zJOjmC3HMDcZxTbJeixIN2Dr1PzfJl2HrWvrsXVtPbZJ12Pbmrm2qm3A9o21mF8fxVb1UdSsn5hZSQvb19eaeiYmDICnKaS0QMv6A2y1E4y20mnVMiFyPkEYWOa+49wHOUq+RHI/jnPongfxtZ+PVwYrR+YaQvHL+DBJWhrpmDa+TpjfFfKNItsonMZnPD+4+UcnM3RLwVlePn914nsrnnPWzptzidfmc+qU0uTzIm9605tw0UUX4Tvf+Q5WrlyJb3zjG1i+fDne+ta3ujhnnHEGDj/8cHf/4Q9/GI899hhOOukk/Pa3v8V1112Ha6+9FieffLKLs2zZMpx11lm47rrrsHjxYqxatQqrVq3CunW+H8+ppi0GNKmi6MfZxxjhZrlCJ2ZTRnzSnOoypppCYfSmQN2Eyt2YwalqZ1juptKfvdBE2xJduCoy7eUdTkKdNtKBld5oInWbie3qIpieDiDsPe95D1asWIHbbrsNt912G1asWIHDDjusa7rXve51+NOf/uSu7373u+7ZH//4R/zxj3/EZZddhvvvvx833HADbrvtNhx11FGlfM4//3wvn7POOmtS2zegcVBMsFd1QoMEr0p4ZnuENKcn9/v2OS7qv79yORJrYiAVCnPTMedYtBeS1rxXVMOAH3Ko4p9m3Kan04c+EyesjUURECTaPR1Qg27zKeEGsaE1k3nBcNyLIExaIaLbUAsrhGDASZie5xtSqHosWP6lutGEwPKMvYMO3ythVzNSYNEHcWC640H/jdXQGcCLDGhAJSqB2cXP6KfS4fvZ9bJCLvK784aNpMkzZ4P+HD1HeIpktBDE1p+SqP9NQmQ0kdlkbYG8lUCmClqJwLSWdvlKBnBIq33ihdF/GCfiZIaLwA8vTnClVsOCOyLnWh5kyipMxynUYInlQRQDLjiFgExIHBCJ5RF7HiuniFsWMyotfRCIDQ4FgVxLKC2Ro3BOn0MiR+HQPrEaJQm09z+kxKavWeBqdtoy2tdp5vpeaYG686VS9CmZcpsJGq8QMOob4RkXUQZABf8PxNcTHp+yY2k7UelQOPF0lF+ufUBGRX4TMMM1Yli5U+kIngNJvSfqIc54GaiNxXhNAS9y1VVX4Z/+6Z/w0Y9+FHvttRdOPvlkHHPMMbjgggtcnD/96U/47//+b3e/yy674Lvf/S5uv/12PP/5z8cFF1yAT33qU3j729/u4nzmM59Bq9XCP/3TP2HhwoXuuuyyy8bb+nHRDHP7N01EGwpLmn/wPA7Q14A54Jhm+bua6u9AT0MZ00EzYVGaTurhvVUJ1bvOrVULJOAtbp3y2dQ3zgA6jqmOgEm/ZZQOMOoyU9GF7vv8NAGuFfT845qbN4Q+DSBYJ/rtb3+L2267DXfeeSde9KIXAQCuueYaHHLIIXjwwQexxx57VKZtNBrYcccdo8/23XdffP3rX3f3u+66Ky666CK8733vQ5ZlSNNiiZ83b15lPgOaRgrnjGCy5fO+ZhG9cGWFAwKQqcacOb4Gyev/82POEXxLJci0xNx0rLfqlQStXRYLXjF+Ckug8IEyI9cTzgjOyApODXnvVxRh09kFiTa+NSLkDbcZIEB2fn2CfUP0HjCBhJyw49mCORX241VQSROiSOaVz/PzgBZ07rsAxFEJoGYDD521cXmRxTd+Mpgfe08bVRbu0s1FxGn6ADYyLzKgAQHwrSIKP4w/c5/FePadsKZweP4xeUsFhayHyGB8lyhzkl0Lo20CGD8KLk/rh03kAnpUAnUB5MIeBLF5CZT8k0jv3gdPCCjh4IerVwCAiKBxIRDC70nDxJnAstrBpOXB05HfEACFc/aK98LNZFUBJzGAJhYnDAtNcJXah0h5Ata8lQUxACgNJFKjTb4vWN6JVpAQHhhC5SfCgCg15MbUF5QHvABADhEAJjlSmWNW0kZdGi2hmsjxZHsO5tdG8XRrls1bFYCJkoX/FiWg1EbcJGsz7j3/QDY8Glf7v/te3kLQhd0LrStBGaetklu/JlR2Yr45Z7ZLm7YIy39wbE1oQLS7m84aN/XIV+5+kS8XKWEbnfq0Iv/S51bSgO2tbpNCU8CLzJs3D1dccQWuuOKKyjg33HBDKezlL3857rvvvso0K1eu7K8iU0Sbs5isfFCTc86RwR4F+0SHq0uZvLyDPjjJjuKpbnSvw7LL7elr0tzCmPaSmtx00DhR3VC1r2O9O+TZU/qNQPd8MeL/p9+x2y9gMhHhTCRtR98oIYMxQ/q/vJijc59UzS1dwkubsOmQVXSytxhMlmvWrPGusbHehM2d6Gc/+xkWLFjgABMAePGLX4wFCxbgjjvu6Jj29ttvx/bbb4/dd98dRx99NJ544omO8VevXo358+d7gAkAXHLJJdh2223x/Oc/HxdddBFardb4GzSg8VPFZoc2G94JMAVnnsg5k1eFHwOtgHwswZqn5mDNU3O8/BqJsfucKYl17YYLv+iBN+KiB95YWb22smYumICgYGV08Y/PD502cICtd2WR00QxBm4LAktK1Jkf7kw6/jv6/kVn/kbALT7eemHH+MZUf3jkHWdBJsrawrcm6oSrXFm4L2CEeqlxLqwTDZ1op4Xi+UTh+RC54RlODmBDlmmbCA0tdclkjksjUa6jZ2fHUD6kp/Rk54QonHvop62/Z/awYpxVmkaEyWdaTxL3wYsMaECTTmwJ1BLO/Df5IqC5xBuGPQ5HocoRvdPctjw+vTkTXBHSAqWT6kkLSMYsWKKNpols27lLA0N/SdB4UqLx1wSyLSDGJPKWhM4k8tEUqp0gz43oS2thZJQemOIDI4kgE1yq8kqFQk3mqMnc3NuLTD65e5ljKMlQl7m7yERXavMZsqashpLM/Gb5kdZKagX7pMnC711YkI7yJMCAmwXz4tp61mXu+iD8T23j+ZCWBrWJO4wnZ/WZ1SBpqRRj9hpRNYzkdWzIa1ifNbBB1TGi6libD2FdNoS1ubk2qDrWqiFsUA2szmdjTNXsfR2jumbiqSFsyBvuGlUmvK0kxlSKmgVRtmlswC5znzTmwNJRp2lC7eO+XtqZ8W2SW9NlMS2b6aDfXDxsTGpZs1aOn5bGXB3/hh0Ru86+Y2fun/gDsCUz2K9rNk9wR+/Gd4nwXAiotLgIAOHmwKjOMmYijJ4TmxQ4qJ9sKvlr6SlRyH+wi4czzRlPxsbjemt9kAeLMuU04EX6ps0aNHHU5zvveZzYCeWFHzCAiHdavI8yD/xQNdNQKjL8uATwi88M4xefMWXH6j0Y973TjBBgj6MOE613THi/UfyZWLrniyfh3mv6KL8P0Gm6qKtT+RlCzz+u9/mnRFXzChPy9AScTDFxoUmnCwB23nln53dkwYIFWLp06YTLX7VqFbbffvtS+Pbbb49Vq1ZVpnv961+Pm2++GT/60Y9w+eWX4+6778arXvWqSiDnySefxAUXXIBjjjnGC//Yxz6Gr371q/iP//gPHHfccbjiiivw0Y9+dGKNGtD4qSPQHTKtKJhxZjvcMP0CGJPAugRYl+A5TcOLfO/vrnSn5XItkWmJDXkdG/J6x2q9+PtnQCk6kWnNc/VytMpuwFYeeRpWHn5avI3Ulsp2R9JMGnWaaESHwjdHxolL4CcrvzBvLpljj4N1mrQvhDs9yTemwoACqcLKY07GxqKH//ksPPq+M6zTYF2YyOhG1mweXZ4NDMAzD9MT9fNtdGII2TMPP5nsYRFSD/Vf/OVP9lUHHY4toOtmh6cJgZTpYNn64UUGNKDJpuiSHlviO31G3ndnMgzN6+y2zOwr+GlxJ9i1eagOIO3eZzVLvhUoD8nO++RDRsuESNUAnQIPnjOM3590kjll35YQbQGMJMCGBNn6GhSZTQQcr6M430P5ocKxua1QqFkSAxk4qBB9FtFMqSoP4FogTEsF2otD966ewjhaL5kGY2lDQKbKFFjYHl7nVOa2nLJEOuYTJdfG6XymEuQw4Tk9g0RbJ1AQaKsUSpv7HAJtnZhnWmLMDgBlncHXRO4AG8BomhgNFoVMJWgkGWoix4gFaLiWT6iho7WAUiasUcvw0NvPLrVruuiBpcP47QXDTKPKfssS7tCDTgJgJFjbS6CohMeqxcBTROIC8bwNECuKOGwo0xzhQAv6zYBRl2aK18BuB1YdmMvbj4o0jK+tzLe0HwrCdEW8KaQBL9I/bb6gSTDQi49a+HE60HjBN0178HHSfZ+3IAi1QcLd08kQXlYo9CzVLZzUuoEok/SRzJRT9N7hPl1+1mvYeModd/sD4UI/5U0FgLKx6N5rhj3wpHLczgTZVqTPKp3MB++2H+B0SqhqTqiaSyKbruj8GHkWhk3Lu2On9DteAB5//HGsXr3aXWeccUZltkuWLCk5WA+ve+65BwAgIjZCtNbRcKJ3vvOdeMMb3oB9990Xb3rTm/C9730PDz30EL7zne+U4q5ZswZveMMbsPfee+Pcc8/1ng0PD+PlL3859ttvP3zwgx/E5z73OVx77bV48skne+q+AU2QNMpzetVkRnFUeNE4tb9J+0QAMhNIRqU3b6dSYSjNkAiF0SxlG8L4htYVrwWyXCJNcjz09rPx+3edibxdMB0rjziNRbYfcW7qtfiGS/x2AMZxfVU/xNa5adgw9V7YDFkIJ5Umq4N5Pl0mcv6IkvHB6piXYk0Qunu200l/eM+ZePR9ZxhNEsnqzscwCfgAByS6S8C1EUDcXxBRhcAjGg8m347ABys3DNZSQ6ca+ZC5Op38ng7iDpS7x+U39F+7Z8L6Jwgvnj4Mm3LqgxfplT772c9iv/32w/z58zF//nwccsgh+N73vheNe8wxx0AI0dF8BtHTTz+NY489FgsXLsTQ0BD22msvz6caYGyN77LLLhgaGsKBBx6In/zkJ33VfUDTTLKYZz1Nk05ygZhQUMOawYKb82jOFsH87tLQPKgBQU6iu/kVEOZE+u+WDOM3Fw9D1YD2XCMcvn/5MGprgXRDIXhVNY36U8C+p5h5LNkgIcYk5Ki50jUJGn+qQf9xFsZWN5C1UmSZRJ5LZOxSyve7kbN7J1RH4cfEaVwEGh8OkAifMQ0QP47hz1JpzEmlQqEusxLokTotFROvnmQuPo9DF6WlOENJ2zhpt47ah5I2ZqctDCVtd1E8ius0VWxeRBSP2sOd2hOvqayWCf0uQAqJsdxonbRUaoGQAlhp6wSjquZAkrZO0Lbx6H+uCzNaFId8lRAIY8qTSGWOXAuM5HX8ZWwu/jQ63zm+DwGhNMkhpUI7m1kqmL+5cBi/O2+48GWCAjDJ60A+C1ANc0+aH+53aoBFAhc9DZHUmulMimfuP4Un7D4VUIm9UuHuHXDDNF+4BonTLiEH8VmhMcav3S+eIl6kV/bX8XI+v+cBPqGPljB9OD+yw2OhNsr0OH9nNAW8yOZOm69PE75PF5gSIXAsX9I2OfDoZiEonUDZxMQ8/zjjL8U7GcYodlp8xdXDfriYWF1cNhV58DqF++GNpekSq2uv9el1zLhFSxR5x0CXcfcBz2uK+3GmgCWdaKLfsxZio2iBjMfXyVTTpGiZ6Pi9dzKDPXPvTxT3U029AIH0nAQPvdBxxx2Hd73rXR3jLF68GL/61a/w5z//ufTsL3/5C3bYYYeeygKAhQsXYtGiRXj44Ye98LVr1+J1r3sd5s6di2984xuo1WoVORh68YtfDAB45JFHsO222/Zc/oAmSOFgt/dOCOHCUVqr3TrDw62BYNXQpRMw3/u7KwEAr/j3k42mSWbGxJiqHhtKC+v8MnKextbVA0bokS4Ej4u//EmvnUICK99/KhZfv6xom9cw+OFV91NCk8QUbfLEJ+nwBfSTNvLMGbGPZytYsUIYIf4MWyZ90jBOhaWGJgPdnCmJdRsBJiwPDrxoDdv4irT0n/PVgtIV4d7aGi6u4St2zCrc6e3aminu+A5DavGXP1lo35BQwZ70LRFrn/OXQALbADzxGPROVZumaaAfXqRXetaznoVPfvKT2G233QAAX/rSl/CP//iP+MUvfoF99tnHxfvXf/1X3HXXXdhpp5265tlqtfCa17wG22+/Pb72ta/hWc96Fh5//HHMmzfPxbn11ltx4okn4jOf+Qxe+tKX4vOf/zxe//rX4ze/+Q2e/exn99eIAU0fiU5zdjy6DuZvLo8QugCBY4K/35077H7vfaaRZQjV5ZtTtoxAXp2MAql14bbfsPGX4uqRCww9UaR5wbFNJNsDer2EbJlID31iGLtf2ERtnQBkirymIGuAVkCS5sgFOYw3jja0BZY5aaEBq72QQplzLDqikcK7uMPcTtogyh7nDw+1xJypUzquUWGAgWhUL40MQA8O2FSWJYo4LVVDvcKLNpnhot/KajrXRW6dvotSfKNpIm35xjF8277EBBoSCm0kHmiltEBN5mirBDWZI2dlAkAbBjyp2XJNuqJfFXyNF14v+i2FRj3JZxxo4kjAab6SvxO33FmgpLzuF2HhLKBZPsgLloTLtSzLUJ4+Oow7XfEdCB3gEvTZCSDzrQ1PK+19VtNIx2NTZMBzRZ9H7ifjIPZk01TwIps7bbagiXeCmW++xzsASrIOI3il7A46ajnuubbwxZC0dUn1lPyaRH02RMsYRx1thVZcPez9f/7xTf8EH4LJqiIfL3gCH1f4bCoFpVVASbc448m3l+d87zbhdnfaVAdlRsuK8crTCMqMl+79wrCnjREF6Pr4vgm8cODJNMnOSsBJf3uXvuk/v3lK/4mq6tMpvMMYij3y5KHTMeYiQuhonD5pu+22w3bbbdc13iGHHILVq1fj5z//OQ4++GAAwF133YXVq1fjJS95Sc/lPfnkk3j88cexcOFCF7ZmzRq89rWvRaPRwLe+9S0MDQ11zecXv/gFAHj5DGjqSChRmpA9gF3DO4EUpvXmO7qniS+HszcMALtcfTkePe7jLv5YnkIKjRELmjy83piJe8W/G5NHt7/6MhdXaxgbzrm/cTbCS0RPbWhe/8QKMmvKaphorDz8dAAGOAGARdct8+Y9EREo90UTnj+2MODETcKxNlfsCLtukPlCVtGXVaAYBdtxICyTqqtAhI1MK484DYtvuMQK5sx3rRUAUQjwHYih2fhOfBBAaxLOMYoukCysqj8YiOAdKqliBIUGpICGhiAfSTCnU6eKaB7oSBUAkXfPhD48EjmUdRT2ldR+GJcCTSdNAS/ypje9ybu/6KKL8NnPfhZ33nmnA03+93//F8cddxy+//3v4w1veEPXPK+77jr87W9/wx133OEOYSxatMiLs3z5chx11FH44Ac/CAC44oor8P3vfx+f/exnJ8Ws6YAmn0ijRISnmwAnSAUq9sxsmidhqtMcIS07djJ5jwuaJWfOqgHjJNr6ZwCAfc4we7sHlvpxIYCoDJ/YKWH8m7Tm2ymtBXfivrbepE3XAcmIqdMDnzT5P3SW+b/nkib0mgbaczXyIYWsriBqCjJVyBKNJFEQsjDdlEiFobqpNDllz4Txd0IaJ4CvgRIzveVpM0jlmwDTQKZTT1sjRuRcnYAJAkLqMnOAgCuPQBkIo3WideGQXdjyLQCTiNw5bE9lbtIKH2xJ7TMoHywiwCRTCVKZe3VIZY5Wnno+QaieGQnLkjYyC5bkdhwlMGkTaGQwz1LkyLTxNQIAUmsHstB/CY2E9X1NKrS19h3LQ1gNGAPaENjTyhMkQkFrga1mjSDXckYCJ789fxh7ndMstMbY+unJQK0PEYrnukXDX49C9o9MkYrgmbeOdqlkuGXgefD9j8EonX+i2tqeu6Fv+t15w90jAVEexDvgFhFE9cpOeHs/yh/TzJJMkVxkc6bNFjTxiKGlQAF49JOeiAs8tRCG8eggLI8Nfu4UXgvh5d+JvLy67E9DWnHVMPY/oVnqi5lGPR4K65p+ptKUTIhTLHifKXTvF/yF7oBjmhUxGXWT4/C5YGMBJ5YO/FCz1MbpIo+hiVG38dWp79g72BhaJqbsstA6GmeKaK+99sLrXvc6HH300fj85z8PAPjQhz6EN77xjdhjjz1cvD333BNLly7FW9/6Vqxbtw5LlizB29/+dixcuBArV67EmWeeie222w5vfetbARgNk0MPPRQbNmzATTfd5JzXA8AznvEMJEmCn/3sZ7jzzjvxyle+EgsWLMDdd9+N4eFhvPnNbx6cBt3I5DPgwX/AjcmQuTYntNh4zYtn0XLsph8A1rSGMJoXrN8Lv3cmAOMAPpE9fAP07dK0mQnj8JoEJwD0hhowO34S8bEPnIpF1y0zp9jsaVPRsVzdef6JCZj7pi0MOIlSMAA79We0u7owIqFAW7AbLgDfmKrJPdLKI0/z7hddtwxQwpxA5hS0WQf909FEl03T19AUEeAEYAABq5OAAVu1NZGjCx8DMWHnVBM3yVWpXeLUSVAebv0OmY01zvrgRWgtJ2o0Gmg0OiNbeZ7j//7f/4v169fjkEMOAQAopXDYYYfhlFNO8TRPOtG3vvUtHHLIITj22GPxzW9+E894xjPwnve8B6eddhqSJEGr1cK9996L00/3wbBDDz0Ud9xxR09lDGjjUcGL2w+p1zmmappnAkUywVNFJSUwG77P6WZPp6XlJWLlyKIMCAOUiMyAI1SmloWfk3TUmPOK0e+WDGOP85uoPy2QDyXIZ0moWQpqKAdyDZ0K58sqbydIajnSxAjTSXqWCAWlE+M03gIpygIVWmsortHB+LAQUCl8gqiSRkbMx4nRCFFO6G86xjhm5+/I8z1i/9UIDIHRvpA2PwJOpFBIROHfBNoCHzD3yqZPZY7MAiy8XtwEmRQKUouSD5TCBJf00gIKEhKZTQOZAyqB4iCSNL5QpG0kaaG0kUA57+bK+EaxDtPaFmDJIVjflcElKTQyJd17GEoy1JMcWR5D7zY+/fZ8f53e/cJmAVSQQ3aYpZOGiVYsHBHWjKYEC7AUhz+KOE61nQ1N7+xTp7U5dm/nD6EMaELf8t5nNfGbC6eXF1FJpI6g+Y13gvfU/o2DJ/5hliB9bJ6bDtZkI8tFNkXafEETOxbcXkywyUEzYWkPwr5OflA0CqFrqG1Ce0EP8eVpK2wQvOCjVhjsnGOyOvYw+ay4Kj7BkGPv/T9mtU50sY/ysmAbtb72FRFUNlpHoCu4MSHwo5e0vQh5q/Lr0h+T0bbJmKc2AdnDhOi+zw/jgGOavZnr6vC+Pa2TaeovDzjZ2KBXN8CEUdV4En20wc09XfKcVOJC505xppBuvvlmnHDCCTj00EMBAG9+85tx9dVXe3EefPBBrF69GgCQJAnuv/9+3HjjjXj66aexcOFCvPKVr8Stt97qTGTce++9uOuuuwDAmeYgevTRR7F48WI0Gg3ceuutOO+88zA2NoZFixbh6KOPxqmnnjq1DR6QR9E5imyCc7JCAQgASnsnN916XRKKwjuRufiaS7HyaKNlVktytPPEbVj/smGuOwXZzu3pPCstJSeopGmy+MuftPmLor6sYJEbRsvtZ3NhLgAiUXj0vXF/QI99wIy9xdcvc8BJlGxjRdJBGO3F7RJnS6VuPE2nuJ3iRfMJt+CRnWKJp45s3WemjCJKj33gVCy6dll5MeOngHL77dB+wEkxuhDvwh4XSxGLH272PVU3AZEL518gNIkzLVQlSGHzjXaILVC24cbGWbf1PuhHN/9MMQ/gyuiRF9l555294HPPPRdLliyJJrn//vtxyCGHYHR01Jnp3HvvvQEAl1xyCdI0xQknnNBzNf/whz/gRz/6Ed773vfiu9/9Lh5++GEce+yxyLIM55xzDv76178iz/OSedEddtgBq1at6rmcAU0vCR3MDw7BQPE/3LuHY5Zvlfg0woAO+sR2v7DpNDsA+M6rRQHYOgfUJOgNzA05X0t1A5IQaNKaB6e5olLjGF5mJm0yZpIko8CvmnG5yIPnmPC9z2qitl4gm5WgtZUA6gq5lEbmLjTk0zVksxTWK2OyK0kLLRQpFYSA0zjhUxMBKYDVfghMfdWt3zkCihup1WQJNE1CwKHkoN12Itc6IfCFO60nwCCHMJoYzB9I6Eg+lTkSoTHGDtnU7CJhzHSlzGeJ8OqmgjmW/IZk2uSl8ppnxksKjdHcIF2kpSKFRqqUA3Gofm1tnmcicXVRWiJni0gCjbYFcEiTpU2aJCqBFNLU3wIlZG4slQotlSC1psLqSV5tJnIG0kNnDeO5S5s+gBH4QRbBN+597iQvDeWn9j+fEsJ9v+b59kIRGaHQ5nsm9kSO9ZHfZBHNQXZOM4fbtb/XAUqsrSaBrzDgSUm7JkahTHk6h9kMkItsarT5giZACSgB/ImgF40TJ9isGNgcYIg9nwh5Pkn6yI80Sn55ZQV4cuUw9j/R5Bv2D+DzUUCPwvewGwMGqxJZ7QCs9Ex84u71A++4oeoxbSgbmMTJju9nu/Z9h+cT1dyZ6RQDTuibduY9ehbmT6+vk5jGyXRqm7zg2GZh1qdTHwWboDAc6P7JiPAbpVczXYDRDGAOttlmG9x0002dq8DG36xZs/D973+/Y/xXvOIVXpoYHXDAAbjzzjt7r+iAJp0q59/Ymki/u61RYXwASLUxQ8OITBjQf6WF8ckgzEY8ZyftwioRrTz8dCy+8RJz4gyiMMkFuImX7H6LmjFxAQAH33YmVm8YwoNvOyfaDPJ1ovmp0lgFQqYkNm/EBD2b6bo3ZRTK/Dud/O+bQqYwKDDy/me0b5OAHjvqVCy+5lIvzGux/Xb844aoHsvhHFAl6OcFaeGb+wsrwYr18hKATn37+CVh5xTSLjct7elbjQuv+ly4NyZgQuX0yIs8/vjjnn+1Tlome+yxB1asWIGnn34aX//613HEEUfgxz/+MUZGRnDllVfivvvug+jjg1JKYfvtt8cXvvAFJEmCAw88EH/84x9x6aWX4pxzivk8zFNr3Vc5A9pIVDoKjep5qDIPFAc4NNjcg2oeJnAOTems/N5pmehwPbD3vztv2Dl5p3Jk7udJch7njBpGe67+NHD/5fE57TcXDuN5JzeNyalUIp+NwseWEpBjAhAS+ZARwKu2hEwVhDS+UAAgk0b3gbTmhDBaEBzwqKW5t64qLVBPM/cbNr21RFVyPp9ac1pKC0g7eaUMmDFzuAFGTPriN8UrHLL7fj6oDxNhTHElKDREJGnUQDsQg9eH15Hy5CCMYuAMgTkcaOHhUAZkkTBaLakQyFj+BH5w7ZPQV4q0oEkitDsURCCN0Y7RnmkxKRRSIaDs3MX7NMtlCQSayfTwGcPY/aKm/4nzQyhV32ZEjum1OhCpaBbuzsPwvEJAhWcV40u0+faFveeAac8mtSZIe5xv5CLeZ8HWbLcVick8mSzFa68O2hvp+54O/042zQC5yKZGm9BZrv5IM2GgEwrK4t6daiDzWMGlpXDPKC8dfAxOhY3lcdBRhektsDSVg5PXL6AXHNt05cUOjEXbzfLa/2PNyni/vGKY9QFrt7UHytsa3aNUtUdXXKqHexUJ7+UCyvWpihejXuJVTZJhHTqVMQ7quE5XjJvumcKvt+jwbBOg+z4fLKa0eNNuuI/2aCG6XuOmSN96ddyYxOe/MBxsHPK5AuyKzKH+fMrmkkj4lFM/c8mABjTZVMUNJxo6NRck46xZdLfxF8Vvd3LMm8c1RLv4MHe5+nIAwGiWopUn7tIayLV093wjO9ZOoXIJrQywQrT4xksM4y/gCWt1+A2zXdZO2z+N1RuMf519vrmksmtWvv9UsqBgmpFoc6+F8QUDFP5UPEYI8d8x7Z1SZ4XhQG9S296ilRPxxFMw4Yngf+xZr+GMSPOod6qYUKPNZotI+FDCOEr3jkXPfFp59CmMpxUQbWk0qXJhzHeV+F7akNgMqvjJmKC/xH9G3lMVf8xJAjrVyGcpY5qmoSEzTC/gKFA4gUcB1lV+LgJMcmEjTaS+sfllqqgPXmT+/Pne1Qk0qdfr2G233XDQQQdh6dKl2H///XHllVfiJz/5CZ544gk8+9nPRpqmSNMUjz32GD7+8Y9j8eLFlfktXLgQu+++O5KkUDvaa6+9sGrVKrRaLWy33XZIkqSkVfLEE0+UtE8GNHOovJ83809JEBj7zdcZCgv27SIvBI4kT9jj/GaRlQTyhjGf5eQNdogJZXwa0ElzEpwKbYARmcMd+OT10dJomUCy8pU10SWMU+n60ybufiex9AHdf9kw6muAoSeBdL1E/SmJxpMJ5JiAqmuINiDWpOZaXYNaU0e2robWujpa6+oYW9vA6LoGRtY2MLKugQ3rGhhZX8f6dQ1zrW9gzbohrF0/hPUjDawbaWD1hiE8tX421owMYc3IEP62YTaeGpmNv20w19Mjs/A3e//UyGz8bXQ21owNYW2rgfXtOta361g9NoR17bq5Mvu/3cCGrI7RPMW6dsNcmQnj17r2EEbzGloqxUheQ1slGMtT4zNEC4yp1PkdURBoW20WAiKME/fEAy2UNlocmf0/mpuLeE76nSnpfIlkSqKlTJiLqxKM5jVsyOtYl5n6r2kPYUPWwIasgbXsWp/VsT6rYySvYSSvYa2Nsz6rmzzs/9G85gE2RMbpe4ahpI3ZaQtDSRtz0zFIaKwbbUT908xkeugTw0bmyfcOseWtS5O4/NTJVKX/7WpeDpOx8t8lmUDADvM0rpoCUHUgaU2sL/oits8i2aTx19RJ8BrcSu3NXSXNX9YHJdmym2OnYawN5CJ90+YLmgQfZkno58WxG/NQMBr5sIm88Ux52LCDjlre3+Y1RrH9Txeevm9+P9Yu7vgpeFY54UY+Kj5ZhForLqzqY+z1Q+73Iw83kJ1kKFVxOk0gffRPLzSuObPf8jaTCfG+zw+XkP2ponEBJ2F9vG9CF2EansP7aaEuQjVv7rSkeRyaR9Hlc+TM0RTJDiuJcyedrgENaIoodvhBdxMMk3BQaPbd6OA5LwRAJiBa1rzWZy5Dlkvvyq2ZBKUE2lliwuyV5dIDTUSg6qjDjzpc5IV2oMVIuwatBdKks0NTlw7wrTYFJrk6KlRNeO0d7yLdT2Qd/O87g/7L7hZHVPzuhfrlM6rih+WGvPomNi2v/NAphVDRbrZ74uUq+Va/A6LfAZ1Qdt+niA8377tFcUkAqYay4K2qGYHjbsummRepoo5jwJuQ/NvSafqKjKZz7Z8mXkRrjbGxMRx22GH41a9+hRUrVrhrp512wimnnNJRk/WlL30pHnnkEShVzN8PPfQQFi5ciHq9jnq9jgMPPBA//OEPvXQ//OEP8ZKXvGTC9R/Q1JCg+YEown50OxVtIpXj8329UBbsaJv7Pc9rYs/zmkYgmQI6MUBHeFCTABdyLC+sw3g5BtTW+WVz+Q4/SEKAC/loIgfxvczDsg2kIyZNMmpAmNpaAZkBMhMQmYBsGc0TOSYhxiQwmgBjif0voVsJ1BhdKVQrcVc2mqI9mqI1liJrJWiPpRgbSzHWTtFuJxht1TAyVsP6sTrWj9Ux2q5htFXDhlYdo+0UI+2auza06xjLU4xmNYxkNYzl5vmGrOaAitE8RUtZACLz7114XkMrT5HZ+8yCIpn97S6VODCE7skvCP0unhUXd7ROZroUTFwCMAz4IktASqaKAz7uABCvt0r9K7cXA23M/8TVJfQZA1hzZEJhVtLGUNLGrKSNOekYhpI22u2Z5wS+F3rozGEfAECwtPTCU/MliX5TUr7/57xEBCSJHqYM8nZl2m9YC/M9yjawzxnTyItoVicit9eh+6DOnGLhsTU92i/al1lPJQ3kIn3TZm2eixBL93HbL12w++KZKKX1Pg7AfUgFasieC0AnAkLp4pQFMQH0AWoEH2FkPPY4Pr16dKD9T2zil1cMR5/9avkw9jup6VRhPTvG5GwtqLO77VJ2WL8SE9Zj/Xl+PC+ef9U3HTVt1Yk5jJTVF3VrT6/trSq/W70ifeySdmun+1AKev5xTay4Oj52ZiLd9/lhHHh0YcvTdEF1p49Xa2RcJrwi/VuaDxC53xjEv3c2D+pYHMG+xQ7fmnMaHZtLpqHNgk6LdIkzoAFNGZFJBvtNOa0NLsSgxdXxHPyD0cVuhS9u9G2RL5HcMD66rlDbesxpCtD/sba1Ka2s7xI7NykloJWEyot8NXd+GdY1aBtpi2gFIJNYN9JAnklXvz3/5Xz8rspM15GnYdF11kwXmA+Tuja+IJSw5ju0cRpPk3zgY4X3c/XBFc4YsL6eCuBE///s/Xu0ZUV1L45/Zq29zzndDTQI8jLYjQYBxRdgFPMdMRolksR41URvNGh8oAkx0cYnKhEfvIyXg2LUPIz4iI9xf/maXH/JxccdP801ohEUY3ITY27AV0CiAZpuus/Ze9X8/VE1q2bVqlp77+5zTje45xjrnL3WqveqmjUfNefMyy1tAlOW3Zc0fzcJp+Z7/zSwj8PTW2B1D5Z3rtLtH7wcNz/3tZW0Bx/cfN6rsO19bwOtGh/3B851XokRr0GurEzeobMOi0X16ecCLgFgnFKWBt5lSb1V6wbMlMQv6XUNF5IpwopJvNDEe/2/U5+6kXrNmk/yDqwHLfK6170O55xzDk444QTcdddd+NjHPobPfe5zuPbaa3HkkUfiyCOPTNIPh0Mce+yxOPnkk8Oz5z73ubjf/e6Hyy67DADwW7/1W7j66qvxspe9DL/zO7+Db33rW7j00kuTuCgXXHABzj33XJx55pk466yz8Ed/9Ef4zne+g9/8zd+crQNz2DAIBy+0YhUo8yMoPMv2pFxhkhy85PgccDIGu8AwI0K76GN8+6IMAIwV6WPiWmmXXHwS7b4LhI4wWOQ5jCjPaHPrXACn/t5yJ4C2gLh8DgoaANQCdsHhl4YJZuTLHAM0AGAUrpa+G+7w2HICnbPfrfFxUIwWyrqOaQs8ADANg7zrKGPYBaqXd8aiMRzcg8lvQFxucYhnJ891TJRh08ZYKX5gdbyTJD4KcUf5oK03RDmh3WDpZ6E//nfiosv/zuO4yDNRvMh9Up5qd+IeDJTEidFxYQamxaZmhEUzDnFcDCyG1GJPO3Rj7us46b+/Fd/61TfgngLfeu0OnHR5VDjkB75LtKPmzRP3leo3cZaV0z11EukaWJ3aS3b4gY23GNtAIHb4Q/izqJClhH0osR6B5Cd0BaE6oZTn7xMZJ3hDTBrmcpHZ4d6rNFH0suaTBUeEeUxIFkGtHA35OkiVI/Hl9e+7AI96wZWF/DUpf7eeRHEzKz0/LTOsBaNh93WLhRuEgGwiXyjSVno8/X1HaYSKcLVUVpam7yRMnxKlUzfqCC8vuzon8r4eDKAJVyAq6QQoTSdKq3udEjmThXH2TKeZRvmhg8RvdMyTjYY+RWzyWOGkPrlECUckn4BmR2lzmMM9Eij9T1pw4aGjfGRkm5viZnr2rnBAyAC2Ndi9ewn/97++LrjIsjYyp8wE23pXXFndwT1XYJS6Qtra/sGWMNo7wOKmUYdJroIlwKRBVINyqVt9F/nkFjj6f7eFnZc6XgIV2psIb6elx/aFbpumrD7h1lrv6fvS/nzP7S2882H3o+KDB6hhpygRIoS4riPqgZlIjlpaPTeKJ2h8Er8GuWHQeAOJw2n4Avg1GJq/7xO+GA/mHgw/+MEPcO655+KWW27B1q1b8bCHPQzXXnstnvSkJ01dxne+8x0YEyU1J5xwAj796U9jx44deNjDHob73e9+eNnLXobXvOY1Ic2znvUs/OhHP8Kb3/xm3HLLLTjttNPw13/919i2bdua9m8Oawx+HXUOgKJyDyT0fgeFlO4ZacBp/7zZQ/jm78WYC+TLtQOvs7QZPx9DcgThZX4KPAg1Kf2dC3ntAOAppF48cIJasZKxC7EMsHtPLYAWMCDkpIG0gzLZChEpZQq5NEBUlhDie1EaA/FACsMpW4wJ5ZrGRvemohTx5WnlyKCx4bfEWzHEaJRUdNDYRLFiChMhV7bUYn0wp0HoW/WuVXRWnl/TWZJOl2OBYDGSB5zPlTEW/UobidUiQe8HpsWiGaOBTcamMRatNVhdvWeKTGWd6QPdYdQqdGWQk2p+X9Y1SvR4XB+SH1n+JHlBZpjcC65pAV6YopPrAbl8o4b3MrmT45/kGXXT6mcZvwM4Czke72fb57AucM/EANOCRwZacSKQPCvxbFR4nhMAORLIhI5nvvDKoHwgBr7ypxfgzBdlSpRp6f01JOy1T1DxRShECBvfByFcvMIkUThlzSkqQlSi5LDshLZNUqrkiLpXcOO/R55mv5UF681LqjFI2lobm0xhon/3IvtKubrOe5q1SQLcnavyHMBU31ErSTZEYXKwM/CagCrhSKCz7qkw3sxq+m2AbKYmK8rTzGEO6waecXG/hXmV5SJ/Kb4OE7Jn4laEGwJiNbL9Q5cDdhMAYOnQFQDAN5/+e3jgxy8Be6UJM7k4EhDGtbAiKlYm4bW025IrFwBbwuKmslPih/zlxVha8JIJ2ur603jkIEyHHwx3iotcoGHftsSCrU/rWxyoctpEYZIIQ3Q/qTg8RWVLzonqsvtwUgkhTaJJ1xrWumzdftY/aoRKzLT9A1fg5ue9pvD+IAXyAi52hy3IYPImtAZ1VnmUXHihY/9IPsPAmLxg8QAQIz3LNypMagR/dl862VYCNWYbEb98PWiR973vfTOlv/nmmzvPPve5z3WenXXWWfjSl77UW9b555+P888/f6b653DgYCIKqgkGe3jGYj3qhLIoMuTZqRctYzgGRluAdgH4lzfswClvXHbxC/a6sq0/sBkElyKH8IGibaZACSQLpaSA/GaGk3VUPC2d9qropaDx9UhMlHDS3QuFzRjxIGlbxhshJq7wQX7hM1FQpgQFj443EWLkClKKY0Dyx7DbWwC0ZBzdZqSBcNYnElfBlzUWqxNCovgwyrpu0LQgckoC16yuor8xNlgFmkDHlicVM6HteQ8uW5MIaKVIsGhReVpVrAHDZkqTJL9WliBVCA1MiyFllxnD+kDyMkaDgVP9bP/gFbj5ufcsWqR3vcahTXgPuWdKknXPLchDtV6TcjTtkeMRccOXt8+ns6Kg3GhgRKUmEK3da2yGlnswOX4hx5MVIarGXQA2LHDGXC4yO9y7lSY5lCas5mdLgmrEZzp9Z575Ml3AI0fci5BVyjrjvGVAnVZnUJH4EBOvgHQqAZw6zwoMEhsX+Ozvr9wBwAeHV+m+ceUOnPaq5ZAW3psGjb2HLtVvZt+2grlW78LjKdL4dFxK1yczqsgjiu+p8q5P8DAJY8yKUablQ9W4l6xH+pC2hpLAOkkvxJt+fA/GkkJYGzlRgcJYqQ27dw311aMsUKaG9RZwzQqeARDIx4n13FBrpXPKSxNJSN+FMS4QGlwilNYL5Pj9pDRzmMM6gGZiAx7wyEkE/g6VKNpA8iKmDW4gLALT7DJQ6g5CBAXBWiSWt/cuF0x4+zVXABiEvADiKT9NlyT0UoY0c4UJVFrv2uvwQ+4GAKy2DR7+/70IX/+ltwAAfvozrwGwKeT/9gtfjW1/8vvgNtZPXvNNDTu6gyLOSALSCy7RpwQmMIm5+5+OJQnQUaAULVFKOF3lJ3A6rqHN1G1j335dg/VCWxP3qg4L3Z+3tNeGdFx45h8oOuWeBjRgNznVGgsQ1kuhY33Eck3+pPdYKsz/XMChQfAEAWgAS9a5wdtIYIf3xOKLiIMytyul0YyJelSlc3MJRYZHAq7bAAJtTovM4UCCkoAyEA51uncxWbCqUC6w5Jl4oZA8gSygeC/pc35B1zfc7f4/7IJlLPrg7eNNzh0XN04OAeP+t5sQrDvIuudm5K1HCEnMEmoRedvG5QG7cpqRS3faq5fxD29zcpGH7VhOpGE3vmsHTnv1MuzAKXHs0I2DlGtGXqlT4YVQ2tpN+iIdF1KCU7E0Ud+ptP/ptEk6Hf/O34vCnpDSoVDPEOlUsUQhiu6/xOWXWKjk9wJinaHdeiVumTMUW+IBc8tkG2i0bj6h/XIFjtBcJUXMoGkxIAuLUXi2p13AiBtYGKzAAu0idrWLWGkH2LK4ir2jARaHFj+65bBug+8BEOYvgCBXDC/j/7BdyrpW+yPrtGobC7iC098JUPabs9+iPJE6fPkhiPwGQaCjMjwWeJJMbpKA8F0AKLfeB9Jxztko9pUzwMQb4xZrTovMDD9eSpMCYRBeqU1JC6eB2enoSDxETFMSrpIwU+w2fkAhCLVgA/LS2scC71Bsh4eHvmIZQFeBGYgFITAkj/FIT2mOO1piXVfSr/JLzhNW8uh0JWKumr8mgAiJKuVMEK5MA1PzvdPinwIjmJRXG4/aRlVpS0DwkqzQvnuKtckjf3u5S1fK3CttXFR4n0zkel0TlSVTllNl9DcA5NuXoLhPVoj3afFjQmD1zcv1gD5CR6eZwxzWAzyTktwn4GkBUvdAWDTBAlQWraEEj4E5FcoSXPwPT7gH5Qng3Ablc92Ss/DQ7cviA3Bi+QF/6KO0OcG1pbFYGLTYvbKArZv3YrV1UpaT/983AwCOOtSdWvzRfxwKANj2p29zY2QjcmCr4ptQmcFO6AtkaUpMi6cDOPsI1dOQGeTp8nJK6cJvisx8Kd5WrawNh/XAhfu616k8D/jopfi3X3vdWrVo3WD7By9PhF6JaSWQzMP0KGd54EP8o86LEoGj31caSJJX4RH9fQac4Iz1hjyeiTwLysaAEuI6mnqOFmgNjSPyOGvrDnNaZA4HEipzKzlvkPFIAc3U8iv0lqMwYgTfTNQ6hYMIb8k/09Yfgz0ItFJY/uIiHF5WQohxRbxFCo0RAsqTys+ebpA67YKLjwI4ixcAGMIpUwQe8dJl8CFRYUKtK5Oskos0SHEnEC1I8vEhhNix+nwAMjzE/mH87fMGRUperqIZCSDD4UBfkGcFN2E+rXb/RVIXe/6OQ33BUqWgRIlKE28NohQWllJTHu5jNP3YBcsXn7BV+5koX5ip44qr5por5A2HkSI0htFaQuvdlRkwDA2diy4lZGvA2OMDzW8ermLLwgpW24E7CAFg25/8Pr79olf1dOzggAdduhzORuUWWALJtFKsSJivBfmJllUKGRP2NqvuszmbbOma7dH7dC4rOABkcTggXqI1JrQnUawktF5WvhK8kVcahZhNG6I0Qf/axBTvf8zg3qs0YURNnWxSnP1GKgTsIBFNPOiJUyEack1qyJrtjmTTirSfTm2uqRcNZ2X3KTBKTUvq00iIvampJzTapUiIsJzomAZh9YxPSdg/0VJCExbZu75vMq0FRrFtawxFPnbK+jpZ83zTtnsCsQJEQi9UTJW2H8TwiJcqhUkPcZBAJiMMjwtMdgKzjs0U30pipgiccd4ybvjjHTNWNBt89T078MjzlyMOyvGgJv4V3tAnMaaFoiK1b82uNcyJgzkcSJgk5PPMKQpMXtEaThQXBVkre8Y4+BMnpIoSm9YRTh6yyxfc9qjCObsPp7UDY0Rp3V6Bs3vXIgYLLX60c0s8+efpn92rC9j5n1uCwiYoRwyDW49oGB2LkjAG6P4OsWI6jJa6CfQDp48zK5KSEqX6LG9DkiDdiJzlSdqWpO7sWafdWXdmAd3+YoDtvJ5aXVxIWGCsJ5ZdfK834EgI3u/Y2ydkPjhg+wevcD/Ct1TESO3DlTZBv8668wlKSpFC0XiJukmD0Kxj/eLn4UJkPra/++24+fxXltu9RnDzua/FAz5yKdgSrFXa5eo8KiDUEKw1S1tbjzqtpNkItxhzWmQOBxBKchAA5ZPNnKXXbnJ8EGER9klaHTch/Pe/7TDGB8nbRJm8w4x9+T4YdKJc4ag84QZoF9P+lISdIZaJz8Ok2mqc5YgoYsgAzWp8Nh7G/jdeLmJahEOlMi5snEVMIn8SPirHw1p+o3nxDILVSc6XF8Y3ke8Ir6bcfQWljE6rLU88LWOVwkSeJ0oU41xWaXdfrpms6CfXpJrViEAt3p1OxxzpFU23hDQylgmtmOaXNonSxxiLuwdD7GwshsZiYTCGAQfXZEvNGEuDMQ4ZrOBnj/kWTl36d6xyg6UHjPDGbzyl2OaDDR50yXI6LgZAm80ZAKX9pvNI4YyOLAApnZ7gBXRI4FieXF4pShaAxPLQMlCf/8GvW8b/uXR95SL/8oYdeNBbl+P6EteCur2+TUm/lOVOR2GU0fuSpzP1/biSxJlcb5jTIjPDvVZpEhathnzRA+lGpCZ40LSizM8UQS8SFMqVsrMTp0WhSIGoSMqcAoIVASExm0v9Z8a6kiBrIkTNCKC+uhIoCTpQQLCVfsq7zvgLHxp56bScnCiptEnqmno81wBxFK1hKnV1TPfyzaYqyNgHUAiekBYv7TiYrU0e+duKMMg2JQD1Ma8QsFMpW/q+46zfYdp5sQ5AjBDczT1Q68LTy/D4I8FVXFjzGSREQTbWJP8t1mRtTQKaor0boryZw48nTEOYisJkinUVQG1iEd9lSDBf44BndBGYZHmGErHOBPKxUYJLML15do5Pxnpta7C6x6S+tAmwqw122k3gMcVYDwGHRya/OBZZfUmcmArN1XkWiJ7SO/8qP/0+iQYqjX+SID4PMVnCfXwX4tr4Z8lp+wrdNM3+sWYKk07BPe2aKnNPQ6TrxLjtDmeRtP2Dl+Pm57521oo2BB7wkUsBNOk8LJmIaEKrb8y0gpKQKg25nG4qmjasx/yFd4MnvNNo4wiT6pysAiX/Sq86z/rm9wZ1dU6LzOFgAK0M6Qjw1DYfMxTyF0AvY3GX3Le2EjmNbxOZ2CZthUIMUOtdcjWuXHGdBQJYFDkZHSAuxiSdHcQg71IGyOtAxApGrElkbPRz4YV020SB4vFn4CONQvd6n5ywbybCWk0C6L6ReibMmv/NhpNx0LFUEhcTlmJ/jPSB3OEV6zpPxsWSC/kYaC0FGjIqUCLNRHD7tq18fMH3oocrTadkiDxdGpUnAHsFe83xg94zxaLGwMXDYWvAI8K4ZYyMDZbQDVlYEBaaFoct7sXmZhVHDHbjoYv/jlOGW3BbuwvHHHYXAOAxn7oQX/r5y8qVH2AQwX9+sCoI+GVeZ2R2TS6mSfukHOHjs3WfyGQKeCaRM5n4XIkYfIwA+Pk8U/f3D1RfSngx3Cbrq5C+r4rKOAfl81wuclDCvVZpYkbo+JuEXuyEZDPPNfhacFjSLIbfjPSUeL54fBmlEwIl0ARER+BI8cqJnBuv3gGgG7NEK050X+0A4AGQ+wtkisSIRmTJGBWYj+LCqhAEnTGUNAp5dw6D5eXnRF2JyCvUr4e+41uzrw+VZ33Kok62aQQbeieZlC9vB5Xf1fJ1Th/6PwnBqebNwag4eeRvLwNIkT8bmrzewhhwcj8VTPE9OllKRHGHCWH/fOMEFcgZDN9OI7jNE0N24AI2unb6fLqcQv9CuQpXSpnhZBkDWFnbLhVhGnPXjTCHncOPJ1hSbqe60FFqKOTQUeKWTpgHZUZWpmQhxFPlJSEGwylMajjMuyQoxfJgy06p4mmSm1/wagDOfYFOSg2DBxZmYGEWWrR3D0I7JX/x0IMiqEiCnVKpL3njKfk3DeSBUsuCZZ0h1pmfsNTQ9e8scRsAbR7g/HML0YaouAnb1L7vDVMJpfuSaBqjRGtU97++DTMnwtRPrQRjYLRnGNKf+OHLcNOvX9jT2I2HB3z0UgAANdbRsl5x6B5CEbKUdruHPkke1ca3KOEoEe7pbXWeEsCtV+ttpKCiAGS4PG/1WOaazwQfkEpfq0Ql3wgBwZwWmcMBhuJJ6Py3lltQfJacIxB6Xs1pkZ2E/0B5v9BtkVci19CxF/xzEfTyAmJMFcVTBMVJgyBg/Zc3OH71lDctxwOgTZRxiOKkXYJzwdW4/8EtuaAUb/ESXOgMurILCRYflDHZmJrSms7RV2VfSE72U/edjHEy3tr6l+J/Z3Hi6bVOPkrT6AMt/rf1/8NhFwO0xNGlFxDco4GiG68aBBZc07wlGldJ6zW9nO8POq8NMf0kOUXU6uk8MoBpLJrGwhiLQWNd4PemxVIzxsC0uH28BZ/ZfSo+A8CywbGb74JlA2zajZ/7/12A//X4K+sdPABw8puXw96teW8mOFddckCaFS/ugXWMI0QckCg8crmhinsE/yocvJSxDzStZFJT38LFKsrKEwWoxDjaMJC1S/F3UCrmaQAXewlq3PRalzTiHlBJ3TuKkwy/rjvMaZGZ4V6rNCG9WIFk8idQegaFIDx/k09krTBx9+yLo5JOISIRdF9W95O8EEXMSHtyIfbX37HDxSnR7VRl6SBs4oarSDj5hnXWb840S1lRrtGF0oCo8ouKAp0sf1/ghUJzCn3RY1DDR8n3KRRcU6h0+l3raw/sM5JUfe0I4Gt5MoI4J4AliS6HKZb/yN9extf+IJ1zBwWo8Wf/H/p/njYQ9aTu92O3Ko1jYf7pNiUbZjJfGdf/yQX73pYZQRNVWsHhmKHYGW4AuSWotFD5kfaf8jLzeoCuReA6wPxExRwOJDj3AqUX+b1iHHPGJUHWKn92RCuPf1C0KMmxPKu0GjqET7ftZAAYxs3Pf3WS9NsvehW2v/ftSRUEE2hwaikGKNXWIxxxcuifCAtyd0Kdvqh8eUNLEMYsjiHp+op50vL6lCUxTff7S8BrvRGEdNIuRLpS3wNdYUEC0+CynB6tFceV39UCJ0E6XzulFE9zxB8imDkYFSeA+q5AfUhqdEn+vjbeYd8tFJQf2QQ7vqRUfk25Ij8bxs3nbYzfdvInm537OtcA7bauO9/3gdguQYGGWU+Y0yJzOKAg87zA6+uDnhpIrw3PGwQeoUU4SAVdBnr2xAK/BM7QouI7hU3T2z+rOCeAo0Pk/psXpTzqP79xB05543I4uc7GCS+DWy0RyPq4I2aEtDGlGA05X+fXNXn3R1qRQy1icHrE/x0LHz1EOTr2NEnHcsffi0VL0iZVV4i3Qj0xU0J55J6LIkrXQXAx9YjBhrwrWAIbBltPO3G0PAF5qiVToOR0U1SepPMmWooILQQnZaMsQanvQLScTgQDfrIZR1MRcVCYDBqLhiwMMVZtg/9c2YKxbbDYHAEDxqZmFUvNCLtGS/jPlU0AgNf+/a/g8of9f3BQQXbgQcjMkhyyT37Xe5i49E7jklo+ny75LXIpny4crvTrhizwT2/eQNmTHif2a4Hj2gaiAqS47tS9KJbtoDsuHcVJrax1gDktMjvce5Umlt0FBK06gEQTL//lud6kQzmZgE9AygnMrLY20QJBfXrcoHxyi2P9eV26PV97t0MYj3jpcm/fE28OQfDgnolFyiN+Zxlt63yByomNcDKE0nJmhWSsOHvG6bNko04KwXRIo9ZW7v7sQ+IdJJ/97vDAWb+4kCc0sWeDqSKk/URUnXHVfLQijCdaZMjGRZEgfeT5y2EuHmhITj+oNZ0QnPlYZkRanAPpAFTnA+K6Ls7vLH9JaZLPJ93ejVaYiEm7fubwAYf2nPnCKwEmGHVKpaMMseX8SVoFYQzsfk72aYCzSVFLM4c5rBf0TXMRDhbSBIVJRsTrfOEFaSbTP/anAdNNIGuT1DFpKfr3N//GawAA29//tq4iQwGNKbTfCT7iRvLtFzth7Lb3vc1tSaq9lJ8qK9IJOVJWP00cpL6TiInSRGgf9X5ScPhcAFCqT96nggBK8nGCK6nzO4mDEpqefq94EhN+HmhhgcuR3FcYvKlhn9DlpPHMNwlEutjE7ynpTvyzy3DTcw4OxYkIZ8oCfiiaVi+67H0orJBdre06l94tNqRUeCT4qs+KIXL0AACwYXz7ha/Oi1k/UH0zylonunth/NuzX4cTP3xZjLE00So3Q4Ylmk59q43xIz6nReZwkIDmUTo8TkwTlCSc/k/o+gJPmeQDgoU6ewVHOI2u46MomYVWirDEOPDxR9C4cv/pTY4XPfX3lntPRZvW4zZvaaJjoYiSRRQrVrU9lxHV8KsZxzExeuzErZfikWS8Aj8OFPnE0PeM/sktgHTbtCyprwz57dKXO+W+kz/cYqL1STh175Ut8h4Nu98NO+tncrHqyKTKEjIxBorxMUZykCDuaWwSCkMklpycpwsKd08jUVpGUJ74PG3LaEcGIxpAFEgyNrcNDgUZxqBpMWgsFgdjbFoYYbEZ48Fbb8VDD/s+7rbOBcPpf/0GfPUX3locxw0HQrCWyi00SocUqzKqfG7q8ku/C2UkyjnBG3qNCw6QskiVwQAPgGYv8A9v20CZU75+snXHBvjWhTvwk29bDu/zGNpAileDu70W6fYu41Jaq+sNc1pkZlhTpcnf/M3f4Pd///dxww034JZbbsEnPvEJ/Jf/8l/C+9/4jd/ABz7wgSTPox/9aHzpS18K9ysrK3jlK1+Jj370o9izZw9+7ud+Du9+97vxEz/xE7M1Ri1OYlbKDaSLEkgVKZU5VBRCqyspXwSGQgywY0CY4fw71kzeS/wPd9szyUXSN67cgYddsKwKKddFrQ98phY7qTxVhUankd2yO3VppKyJLyCa+mVIY6Kmuq8t+jupMjtlyUaej3OO+PRjTUjpdLV25huS2ohKWv8Egc4qyOg0JH3Gpdc5IabbIeDnsqQ5/bfi/PrqezZwM5sRptKSV+ZvcvpC4YxpFCadugvvtEKzetpgHeD0lyynh9Y1ga8mtChvHvX8K0EEmJZhibo+iCVvUJrwxLGBWt8bcpJBES+9aeZwr4CDihYRyOiOEvSdPMyFfF35ssuc8L8FBUGnvNK7Up2FhuXWJTnc9NJXYPsfvj1tTptVpsvOzd81TMKPxc0tK6JzCh9VxUj+vCaf7aarCM0nlM1VYgDRlVcN2J3QD7ciMJCtiikQK9FtFKV4sdbm6lFY9DPP5cJi5sL3zZVJpbLzdy6OiIN/e/brpmnE+kAgC2iqOTBxgjM63yQ/lTvVmgDCN0ziB+UQTk0VmrZO8ICPXhqEV0GoJgI2Qujov/2a+67bP3R5OP3cnYB9jRZCC71zfkM8o85pkR8rOChpEZSFfJ17oeuVLCNJk8tLuMDXMoKywLSxXtsgKEDMOONDCvFohf9kX047TJNMOoX+f966A6dcvBz6ngS1l2oyiVhVWDzN+pyEZmt8lP+fHE7TdZNqhuBJ/a4kfFV5OnIW9UzzvEEnzXCKEuX2OrhwF1do5N83/nBMw05x0rALPN64iUGGYQ3DNBYSlN2yU5rogyWGvCKFoneD5NCIpxmdZ5fIoNcOKxC8DFDMWMK8dINXtAQnwPp2jwcNzMBidTDAyDZYGozxvT1H4Ht7jsDmZhX/+KNjAQDbP3iFy9vSRNp4o0Cv82l57UCS57SAkM9ZDBP3UM1HlVbegdP3hC7JqeccE5xitLBO1wNOfvNy6naMYt2ajPqX1zs886C3LgMLSBOgh1xWLsz0Qd+i3Bfl52sOc1pkZlhTpcnu3bvx8Ic/HM9//vPxjGc8o5jmyU9+Mt7//veH+4WFheT9y1/+cnzyk5/Exz72MRx55JF4xStegV/6pV/CDTfcgKaZ3qldvrlrhrIm3EwmsmwCapFzEzd6TUwAceMg6wmAkdvYzRgg68wY2wUkgcOS9uUIyte5rwLpv7+yP9+N79qBR56/DDP2Gx9lY5ZvrNnYaARcDPZWE2CoRWqUEL6TP9vEe7WwWZpaWUXg5N/0MAtzpfqsT+jo+45SCeq5Jqh6Glrk0etymHpbs3YXBewKTv+t5QOiOHnk+csJgdjbznwD1/9zyOZxR5alTvA6CzMk8724IVK3Tfqb1zbPtYYzXrzc7bfvh9R//fu6li7xJBiX51mePmeucigQYusJNAXBuCHKmzlsCBxMtEgCHSaku5iK60s9pMDsuZvg4gqubPZBPKnxG4lnSENRcrrIurTBukIzDIU2inXJrHDzS17Z+/7bL3oVtv3p27xEhCfj5wAF5B/+uXeUP1dCYbEuSWJPNN7BalHozd7bRB1RyKnH3rYm6f1b3RU/DDULmZJ1yyzATLCWwJbALblgqhbRT3iVwJJbTh6H+TNTc6g7JGoPTfse60vinBTgAR+59IAoTrZ/6PI4br6d0Yoo0gvyPrnXyqvkVO2+tycPhFzQsIa69qee/YEHfuzS5D6cIraRWytaESXjGBvfq6hi+UPp+B+ATX9Oi/x4wcFGi9DYW0VoyGQgVVwu1iCCq3Oe26h9hJDETgAQD5ECMRi1sjKhFsEKJLFEkTXj00+Sb9Tgny/uz/fNi3bgQZcuu3YZJJYvWt6TYBkZA1EqGR9bXVvPAJ1ttXbanIEYP0XK13KAAoqj0vPSN5xAW3H2TbVlQK6gYQK4ofhOKVbC92vYKViaaJHChh35ajhYqJDhYLkSLFEMQCoQTEojVegATX8JDZXz/on/Lx/s3vrDgHl6D9Yw2oYxNsBeWgSYcCsdHtsOOPeSIwrxXLb96dvw7RdsvOLklDctu74MEOnegvxBoCY30tOtzJP491reoV/nh8Nr81PjEkqtyGisYgStI5xy8XI8sKX253AQFM7FXw7SNsETiUGT6hMTohtDBemB1fQdb0C/57TI7LCmSpNzzjkH55xzTm+axcVFHHvsscV3d955J973vvfhQx/6EJ74xCcCAD784Q/jhBNOwGc/+1n8/M///L41LCD58k5B4MSMlOAXPLP33ajSysJQE4m9261AIAjvJDEBvFC0I8wPBSBujBsI7tQnogVBAanlizpsiIooCIhOiKB88ecbtXofTFcrY9MZtzydH7fk1L6uIkdieTvkW3EhXS1/4V1HyaNf5YRoYVwTBYXyn5q8gyI+C3NlaksFLvxWRGlOZORVHQxI9JHnL3ee6f6vWRsLcyVRkgiRRUB0xYcOgds5fZW1USvHznzhlUXFxf7CGectR+J8hvEhjjgiMBHTzrWDBabp80Ewr+ewNnDQ0iIa9te0jAFB2KSFE/oSJrRRk7uFYxQ5U5gE7ljyUyxzvYFDc1MmqpCueO99bOcChuByUeNk9Y6yAoPCqVC5x+6TrT6AzB0EgSdsSLnfbp03vA+BXTkIiKc9GV+0hgkC5HRzKzY1oQmkHYBTLrlns5/S1xtg9igpS4g8BKVXogQE7bMCaS1g+wcvT9vL6vsXaN50yqXrrbPWOsTX5PZU4xKVFDKlYVNrb70EP6d+4k0Ahk7Q1GaWOX2fkvMVm86F2jwIeEACBmXfS8reEJjTIj9WcLDRIsHKIhPy5Qf33MN4JUJ0qPzZ+xAUXmQFonxQZYtAlOCtT8aKt/DpNA/PhI0LSKzoDwnuHk67K14IQBqzxKihEVKqIIjVvLa27EiA4pjVtoSApkt8e6FPNeG25k0TKxVVTyA/9HuD6KXEJ5QYD1Em5mNhNo6ucvPB419Srr2I3YFib4kicfKc5gQdJYl29xXak+HVPC5WBxI+nRFMHDK5DgcFDscBZwCWwCNKyzcMGrawqxsZtTzCqb+3HBQOgYSfNDc0aBmZkF25nCubxxO3zQodn1izSFsFVxTok9NevbwuLrpOeeNy6K/goMQ6p4J3RFYHIIlfBMRx14fpw3PJWwKNHzcC381pkZlhw2OafO5zn8PRRx+Nww8/HI973ONwySWX4OijjwYA3HDDDRiNRjj77LND+uOPPx6nnXYavvjFLxaJg5WVFaysrIT7nTt3xpeE4I9RLr0ph1MP/rQlOf9Z8YQA4AJbSRYDkI3lhTrkpwRFa2N6Nq5COwTswOUNC6ZgnvnVP1x7pFADbR1w+m8tF08ZSH/Ishsr7eNS9hgLmNWYV/ID2UadMZDJKYYKcaFPMehy8v+uwLTupD/yzbRVjEqnlT0dJYe8V2MXTFIzQkK/022pQcfCJCesOP1deqbbOpXsIB9jTwuwIOocYef9o6yMAwlq0xUotivb7GeGjiBCFSVzPD8NnjXTjRlHYiNPJ/w8r5/iRLdB96MGZ77wynAAI5wQy+f2tLKGfB4DGzePpqnnYJjPc9gwWGtaBOihRzyTBeR7YmTSSkJnzvEDgBDUmeEZy4j8CUpAbwBqGMYrTEKsAmuipYqObZCdsttI9wI6dsL2978t9q0EyZg4QbOc8IyLXDg+dZvRH1G4rZhlP64sjDqQjo8jFGNMhVLzsn2GS0RCqS9hHrDKp8rpJEzTVwX3JVwvZdpK23T/Kp/BzVdNOPnkCZOdZU7aoPbL0vDoctXJ0KRvgBO8H2DFSWe8AgE9RT7EvJPcb5UC5HaK5CxtNk97FSYF2Pa+t615bBPtf75zGrgCJ374MjjlXLo+kjgkek1oXk+UMkLoqrTBXcs0xy7XAua0yBwy2EhaxKw6+XTpcKDma4NQUN0zwWfu5hV5gRkh+O23i67McDjS0yDNCjC4G3FfVvjONoBdQIxdAuAfr9g4uYi43wGAky5bTuQTIuNpVtz/dim23TaIwegZGO4G2gUEpVHgAbWbs3zPZDXONb4228e1HKBqUaD5rVBg+ixpVyFv3q7kkLCXqzSaZCA1n0QWpmRxojxJ5HPe+iQqXRiiuEgVeMrCmibQD4j5komr9kmGq4PUXlIm75xlSdC9C5nZEmhMQGtAuxrQ8MDSIjpOMYAibVacT/6+c+Yj32J9/yf2kmLaznMpl+FwCrl2h8PYLcAKjwDAQ167jH+8fG1xgcg1zCqS+EOJvDiDB79+GTSI76XN4UA5Ikkhcl5xaQcoEkTWrlrDZFGl7dYc5rTIzLChSpNzzjkHv/qrv4pt27bhpptuwkUXXYQnPOEJuOGGG7C4uIhbb70VCwsLOOKII5J8xxxzDG699dZimZdddhne9KY39VfsFyM3gJXNTzav1iM+g6g8IS6exnYLQGEAISb8yYqgZAiBFOOmHzSOenGo8m/4o40jCmqQnyIBgCBklccWbkUrLYJY0+TKjgCCYBVxpSGMYagP6dirvO43xWeUvVd5pGyteLHKKkjeifVQB3lke26iFFIbe6600Wk6mvS8ijyvFuio8dC/hfBiPVZ67PuQnLRHE1GM4BUlnAqSNLWN9QDCI397ObSvtE47BH1tPCZtBoU5DHS/Y0KEKuK1gz/g5i5ZTj6DVtaxmsvrqzhRbZzwbUuKSf07WY/yqvRNCIDlTr83ZFOetC42qh1zOChgPWgRYDI94mgIt1AISBjD0lFA0oqDICTkyCXqtalOqlOwHAHYIhVMBpzeZSBBwM3P2zc3XGsONtuUk30rRVpO4U9d96chAXrwHGf/nAVKsGoIBJvOophrwS19ew2674on6wkdBUA3iGlMG9pbSs9ZwgntcXSQ+An3CTQHWMrvNrWkQE3zOCsbqYCTeZYUpctX5VLg0CVPtzESLHxyDJG1h+DDPDQGcR2ysuQSqNCpKeGAshAoz6qnReH7JF5IigWg/F2TQty/9VCcgJyVSahqiu8orlscr1ZIK7wGd63IYiH5A5WuFm9yLWFOi8xBwYbTIvrQJyM9IMdwgkvNWwmfrPkTvTVbpPwEkMkPUh5H8poxB0uEzl7kD2t+4+0HVi6SbFmCWwYAj5VyyAtDQx/9qXOrY65o+QUQBalCv7EqP8fL2ZiG7bXA/3YO4VX6JO9z5Uz1dLufJ3q7T2Qivt25oDkoVJS8JVWSqPvG85LhnsMBXfKWxIG0MZ7mUVYrHf48+x8sZTS5EvZqnTEdJwaBraeKgnUNpe5tjdtsyQI02her2/2HB79hOSgd2MQ5ksveEplYRXbSIVNK84rR4fNLithpZUeB1FS4KSh/2vj81IuW8U9vWTu8EPCZ8pwj9ffyDdk8DxZ8ImMmBFEpkOKSjtJI1+fBboSx0pwWmRk2VGnyrGc9K/w+7bTTcOaZZ2Lbtm34q7/6Kzz96U+v5mNmUAULXXjhhbjggihY3LlzJ0444YRuGeQE5jxAakXhT0GIEiUgQov0RDaAILAHFGMX87pFwwFppRYSXcaXaWMtS/rgq+/ZgdN/czndQHOCSj2H5dj/3J1UBXKlSbin+E3cix5k7HeCBPFTNr5JYxVhQIARRZbexDPCIa248pxcOUF7rD+vuCkzadma4ChtKFpgHogwj3hDWzQBxUgUJ6L8qH4HNWc5a5OchBFCqEMYJ4KQ/u+8lvCIly53noU2S18rPmPdw/2ovG/D1Mn0OPXMo3Bay3jKuaJASObJGkPiQky3tzBOZ77wyt6TKhpyxQpLmZ1xcRM6nLzqW3trCNq3cF+aOfx4wHrQIkCdHqHGucji1gukg7sH8owCZ4jEQ1gfgYNzIv1G6AyObgM4ZQypiW6c3F7Rs9AIuPm5B4ey5Obnvxrbr7ki3aTkPyMIWsUlWQJaolB6l0OJcQSCALcIVSQY84biK2Wkio2cNqwJjrNnquhUaE7xXfjfj2RTywalOBFOr29TKvVRlRcFaoX5XcunaB/SH4nCn1j9BiHu7ddckVadNCNukIlPdf8sooyKVCIUkxHH+fMcZlCyhKKkqTl9k88ZwSXrQOvViqzhqO0fvEIFgM/aVVuO2TrMlSwlv/jah/56wZwWmYOGjaZF7ACgQZyH4aCc5vf1+mKEwwhyAluEfYH3tw6vaNdVIW8238O27mUs1h8kEzBj4Po/WYfDYvsA//K6HTjpsuUgDA1WI+p3sj3pPVnoMInVkvFICVCGEwnRusXzUax/C62nMyn+Pm9LaE9eLcdvyQZo/UFP7a4e+gJgLCd1pYJ4ivIDAT9fOooSyZMpUYJ8RnuJadK04aBzUi8762pK61Wkc6SNO3IVSg40ZZ9C0SLSb6VskTosQJZA7TptmgpO/b3l0HazCrC3ekjc4Ml/vc9n/H4g7/J5hMJ8ydZ1iSQJc0HKmUSX6DIoIzWNc/em44XwOigS9KHk0CZNqnI6Fg95zbJzgSYuuVQ50K7F4OeZxPexkT/TZL8crub8fgOUJnNaZHbYcPdcGo477jhs27YN3/rWtwAAxx57LFZXV3H77bcnpypuu+02PPaxjy2Wsbi4iMXFxc5z2xDIxFNuQh9rRkGbDmoBbLxcwgS5F3gZsS4xY46+L+HccYmPR82AbJTAeVb46nt3AABO/83lSAwRYL2LMbKAabnTh0Rhkj8Hwu5EQIGoUGNcAkJCbOTC3lB3sjNOAFWmbPKdNtR+6/abiBATQkEjxVL7dTrqpkv6WBsXPeY1KGyEQOEbAE65p4kzqqdPCKkZmPVZoaMwkTH0bQrKylaoubQxVDp+CaQKNtLPS4lVmgnyDs7HrEA8JASKIhI6REyljn2FM85bjgoTMYtW35KChMcpS/L52hnJ8J6Sdifvs/kbiR4KRDkA2ANwQngOc9CwFrQIUKdHaGBBwxZoDHjVRObKwilSJBCm4WB50pWHeCLGn74SxTwMnLCPkArpCS6oss2odEJ0faWRz0EEEnTeKU/8Q2lyk7Y3GSfpjx+LohBWIVjyjLYuP7fsCEHlEd0ydNJmz0N2OT6XgXaplfviLqRO296XRrfBCwNKLt7c7wIxq353h67CTRe5Z/VThoC4865TvCqbOf4PipOMyV5P+kPD9msyi5KEJqBO2/M5m9BUJdqyM3cKY5XRIe5ZYezzb1whEp3QLaWFNsItxAM+cimoacCtw03FYL0etn/o8jDGzASj8ZymQ4GupYqms/w77dorWKNIeYTUsm8OczgAsN60iB0CtIBEUSIyDH0AMnErg8JhQ7j0QZcpcQ/h0sH6QMltLEs8fdgBgAWKgkcmp0BpNgihzwDfunAHAOBBly4HnGLGblyoja7J7UDxU4To2swPkBmjww/l5FdHHgBVDiHxZKK3Q23NE95lqD+XzyTPCrRLaIOfI2ELJvetgsCVvaGFBcA2WodkMgIt35DYJrmbc61ACelCUHlKZS5KqQKKVinhoLKPe8Ka1lXEYjL2eqzlIILew4lcJ0XGIOPt200twYxV2cqCcq3hwa9fjkpMZdkg7EF4HtqOGHtGz6v4qPggOeft5UPJwWclswDUO6T3oR0qbRWEFAiKMyQH2rV8dS3gwa9zY2my8crnBbFTlpB17RrsdevdKgk6qfbpMYnzFcn8DVZZCkcIMOAUYXM46GAjjJGr8KMf/Qjf/e53cdxxxwEAzjjjDAyHQ3zmM58JaW655Rb8wz/8Qy9xUAKtAQyEwdhtXGaEGHissPhDNo3MBaEPfHySBf9frkG6CMKlkXxW7sEqK/zqe3d0mDUe+L431OmjPkWgEULqu9JdnX4zA8zdTV+DGi9drm0ItqF0k82QUREUoWhahhm7qxmpa9VdZsQwq/4axbTu8v5hV9X/kbuakfq9Gq/BivOHGq698RrsAZo9/r96blb8taqukZvLJEH0QuyZuMF0lYCT57yMd+f76u+WM/LrMI+DwkS3BYjEir4KbQhWYoXLxefhjiVZdf5VyikRoMWDoiVhxwbCGectpw/UJt2Lg/T37swJigrHUhk1QaAmjhVhtO7Q9w0r33MOPz6wnrQIABe40scfoYaBxilHHH2hJKuW3GENty2W56Vmsr1wI/j11+s0yU9pWeuEt9cabv6N1yS0VLjyfUHeZ4NVsvRwQUQ5fBMRplJQVnExnwha2RJsa2Bb44S+IvxVQmC50G1SKEv/70Lewf7HseDK832FAu53woN4uSCp6mrU2DY6bTdvuCh7TywkY3RxlX9v6TCVv/NawfYPXNF9WNo3Zm1D/g1LY518byFg1FiE0yNcSF9oU+m9IlzCeOt+riGc+GeXuWJtRWFSA7U+c9Brreiazg+bXpuSRlvhReXyOsOcFplDD6w3LSKQHPLr8Ozo7jOKbtfCbNt44aHiKURWAni+VIpS9L8dItIpwlOI94aDEP7ldTsAqP5p4SdnvLX2vtF6oWxpTee8acKnpmXqg6zhu4gwNufPczyptw65lDWJlJ0ozeSS/hb3X12+30PY9de1n4P3FZGZNEEmwmhW/LXKQbYR5CWSLpeZrESZixnJf3LXKikZCQVlBvmYIy7uCDn5SOuf63vxMmOzMbOI6SwCnS5lujoAGgM84CS28VrCQ17reHmRZ3YsSzrfBOGb6IPhpi1fiZwom3tSjoYOydNDzk4tX/Hpxdok99qzVvDg1y3HJpR4Ct0ebW0h1lDokE9xXUHdt91L4wu9FkN9G7X/z2mRmWFNp+GuXbtw44034sYbbwQA3HTTTbjxxhvxne98B7t27cIrX/lKXHfddbj55pvxuc99Dk95ylNw1FFH4WlPexoAYOvWrXjhC1+IV7ziFfhf/+t/4Wtf+xp+/dd/HQ996EPxxCc+caa2CMIOQvFVpx0c7gYWdgHDu71weqWLmI0Wfgti94icxggmqnYBGC8B483uGm0mjJcI7dAL85vowinZdCYxvgcLMEK8EsATRyqgfRCmS7yYAVzfvSKpXQBa+R9+E+yQ3P+Bu7gpKFOSNnSRUzADNQjl2GEs0w7iN+hcmigs1WUjcks2lXG8XMA7p2AxevNXcyiZV6IE2eMC4A3uBga73Twc7gaGu9y1sAtYuMtfO9Xl74d3xbTD3e4aaEXLiiI4RqrNOeK2KdIGkBLPOaGUCMzVPTvXbmsOvv7O98nbOojfX39Xd+qE6ussEAOczPGp5B6c/S4QErVyolUWp0RyBR71giunaNB0wOTGRJvP5utJj5ekt01cT0FRma2lqqKywARoAn2jNuWEWei51hNuv/12nHvuudi6dSu2bt2Kc889F3fccUdvnt/4jd8AESXXYx7zmCTNS17yEjzwgQ/Epk2bcN/73hdPfepT8c///M/7Xfc9GQ4mWiQAAabxFidLLbClBTa34EULDBjwAuaOpYn6TyKoHnBwT8WWgNaARwZ21MCOTRTgS6BvTQBnJuT3SNBjowXvvrtaiB6UIlrwmqUJwlRGovQQYWpyteTcOLRymezy7znNo8tzQlwt7cg22PxbaWYqx5khLaWXWJmod6SvHCcrIQKJACERLEi5pe+Rc4/6iu9EmWIa666Bv4YW1LgrfM9c4SLlJAeiKCgMiRg3PefCWWbR7JAx9h1FHlBdWxLnJIyjCGGS7xkIBE0sJHM7HdPCM5OPm7qgfucKyEQRxtHVn4dtf/q2fRy0bBzUetDHUztKTOoqN0Nejd+knGzux3Wk1xY66ylXeK43HAy0yBw2Dg46WkQLRgUo8vDyPxwIXfCXfweKipJ2wcs+DgFGW4B2kwvaPN4EjLe4QOnhYN8Y0EJ4O3TlDfc4GQ0IgY8+qIFcv/TY8ACRr1b7qsgNtPBVBNIdgXUmtA4yiLE6JKne5ftMfqi0JO8oKVcSNJzLQDJhsY43URwaxVNTy1H+sMpOnrbi5SV7GYO7GcPdjOEuxsJOxuJOi4VdFgt3cbx2+nd3MhbuBBbvBBbuBBbuUP93AkN5fiewcAcl1/BOg+FOg8Eug2a3weBuQnO3QbPXKVloRDArJihZEvpH9pJWlDIGZkzBMoEHDB4w7NB6y6O4p//fV1yw73OsAuStt8jLJ4vzwAv1A09e4MGL9CSn3z2fi3LY3Kh5HupM5AaZfE3mmZaDqrqLe53CE9y49aVlDKdetLzvgyhA6Fpz5DScrA2xnPLv7QKKyl0nj0wP1Ot0ouzSB6xJyRVzed16w3rQIuPxGG94wxtw4oknYtOmTXjAAx6AN7/5zbC238/X5z//eZxxxhlYWlrCAx7wALz3ve/tpPnzP/9zPPjBD8bi4iIe/OAH4xOf+MRsjVsDWFMDoOuvvx6Pf/zjw73403ze856H97znPfjGN76BD37wg7jjjjtw3HHH4fGPfzw+/vGP49BDDw15lpeXMRgM8MxnPhN79uzBz/3cz+Gaa65B08x2/MAhbkRhaEeyKQvYM1wFIWaKFBjcOqQoPkHtIC5m2wDw5pmGEExVZdGFBacWHgCc/lvL6yN03l9QyIMsgBbBh6b2OEHshytsut1xBlJEqVOE/IKwNTJH/J1o1OVEKQHi+yHndaSNTAUmP7RFf2BJj843qoIiNEoeK/S46D4Rd59VinZJcmY3e5ZbgFRPhOhnHLvJKl9ykkXxmdWNbR3gES9d7o5/vkEDcT2p93o+RYZZv+dOefKcQd16++bBtPx11vbeExdQ3fLlP+oFV+Irfzo7AXbGi5fTumuCnbCu80kcCYa0YUjmXe/cyN+p+yBf699L1w4OMC/27Gc/G9/73vdw7bXXAgBe/OIX49xzz8UnP/nJ3nxPfvKT8f73vz/cLywsJO/POOMMPOc5z8H9739//Od//icuvvhinH322bjpppvCvrmvdd9T4WCiRQAk60aEgOGUtVWLCYjBr2V9eeGoCPkJXnhIBMpPVgt64wIuq4JLuP2DVxw0cU1mA0J0OD09FINI92ZQ9YVnPZUmhBEUvUFZmr66oDbqSvpwyl6lL7mY4An1lugSlSUq8fwmltMbinaKaTnQaPB7rHZNpgOlE8G5kfD9ZBm/Ulszxnu94AEfvRSgJtYldZvU1VPnW2voa18gOKXsbIOuTK9pLGs4rIsJC6PUXpISUs5p25++Dd9+wewB4U/88GVJXXHMpv942iolsSgpzXE9PglNr8a7RAttFBxgWmQOGwcHGy3SOSxXwaEi7GMtLPe0ulE8cpBzNN6TlEFwuyVKBTPydauq2LiDlI33YMFq33jk+cv42rsPQrkI0OGddDwOrecu8ToqW/INgrzCIiqrSzxtXginvxPRRba1aJKwI5uQZ2I1o6vxsiyxqJF2SxmxPgKDOwcbg5WCj1ujT+Un9RPQWHIW2Prwo5TTuuckbrnyg3uaDgHKabx7aO2an/1+XqJjkrgyVl6pPYYRDx7I2KyTa64Hv245kl6ad5b+ynotyTCSiYG4j1aOzVP2jRPZRM6vk0qSfYPQHhmyzDJGz4Vk687lE1KOau++BoR/8OuXY7ttOm9CGzTdywjKqTwWT94PbR2TgEpH7Ne5zBeblhXGagOUJrptawVXXHEF3vve9+IDH/gAHvKQh+D666/H85//fGzduhUve9nLinluuukm/MIv/ALOO+88fPjDH8bf/u3f4vzzz8d973tfPOMZzwAAXHfddXjWs56Ft7zlLXja056GT3ziE3jmM5+JL3zhC3j0ox+9tp3ogTVVmvzsz/4suMcp7qc+9amJZSwtLeHqq6/G1VdfvV9t0RMyuQ87diZlADpIXENERDL7KVheOOsJhIUkwYtCoHBVf6/Q9CAEYoDGDBohbpY5gukhDoAUaep7NuR8nKqdPJp0Imq5GS7wvC7Gu/oCcVJ+0rakzu5Glse2YKCr9CnAxJgY2fiEpIHhKxUa04jlQ2fOIiuTsjp92zpafkRkn1gEyAbAaTqpJ+B9IRhyYnsdQNxyhXWiNyXfTr3BdvqvfssDzRwkQsZCX/Lx7QiGSukkeYZSOuOkxzgITFUw+LxdimjbV8j9ZubjWlVuFPpdlQ9OmM+letJvuwEIMSfEamnWCf7pn/4J1157Lb70pS+FDf6P//iPcdZZZ+Gb3/wmTj755GrexcVFHHvssdX3L37xi8Pv7du3461vfSse/vCH4+abb8YDH/jA/ar7ngoHEy0CIFoYAFH54X0tm0FcFOFdD98V9L7WdJ4lQkVGFJzmHHJANuvD4G0IUHajvjcnyLqbp0/oXA3engvwZQw1YgybvGofJxnSn6Xh7/ssukxVb3TlRhG3KiFzLlguHk6BxteU4MyEKdRCBri5KrRYaJ9RBcp7pSxkL5lxVieSjkENgpg+sezpDJAeo/WZww/8+CUIBIel0O9maBMihK0oQNnHG6L0m1f21s6exFkiQpzTWRdzhV9uNRUCn2tpWgcq45bMTU7n0/4C520X4qISf0iS5O0XQi8fQyqMV6fY+phshKXJgaZF5rCxcLDRIs0q0GR8X5hvmkeAR3MGUZmNjH/Q96RkHuwUJXbgLFCavb7uEWJ8EyV9GuxljJecFXtQPhyEUDpdT/B8lu+3uHAKwm3hW7VVYTbuHXIg4zeLguQC/6/LDHWV+NECmmPjm8Zq29H8qNVpKSaQ59YNij4gS6FAV6krL/u4it8FWAmy3SRNhNSKj81dwOfeDkKaLO5s55nkH8TyZDzQcNguiOHi8+T0XAvQmNCsUGz7GoMI+qkmbFf3iYxOH3hEHINcyB8g8A+xnPyQL6l0mrwpHQwPilCqjIvUVzrQqf/7dtrGr6txz2BNC9ZZxQXFHgOklW+sxkkr4PLx8xAUQnk/FP0iyyG39svlSyAAq2vQx0mwDrTIddddh6c+9an4xV/8RQBOJvHRj34U119/fTXPe9/7Xtz//vfHVVddBQA49dRTcf311+Ptb397UJpcddVVeNKTnoQLL3TW5BdeeCE+//nP46qrrsJHP/rR2Rq5H3CvDTXT0RoXYJoT/y6hZiZjhsbCCWGZQa1HugpZJAjcAEWTNsx2quKMFy8Xn0tZX/3D6crpg0e8dDnEiQU8kgqLnEN9wf1RDTRBoJEoBJnH4F2BAbdwZpEEF3QeiP5BoYkHTgNV+U02V5pExp6LBEauTJEgZyUli85bJFby9zmjW8kSNoUCIZr4GC3lzepjLaQg1T/jNwSOhAMIbmyNagJ1y5TvF06qKAJ7La2kgsIkUxSUhPwJjZhvNki/T9io0CUGi8x4/t0qBGqHCCht9lz4ZqoaNlRUnAidKZvqo55/Jb7y/umsTQRHhFMP2ZqwptD/CRtjaT7rvnSgQgAl3yEQZutAZebNUQRQXxoA2LlzZ/K8FlBzFrjuuuuwdevW5ETEYx7zGGzduhVf/OIXexUXn/vc53D00Ufj8MMPx+Me9zhccsklOProo4tpd+/ejfe///048cQTccIJJ+x33XNYQ/ALXISa8R4TD4NrIMljIhcblptHSoHxtYjxTqYgfmexNnnARy7tPNNCx7VwlVSMJ5HWONPjyLykA66tHyaXlX+wEneJiNBnRW8Z49kRluQNY0cvecoMzj5ANaBAX3TKhaZxKe5dap8g3Z+gRPAZNZFHiEJCIkd7+PqEGQ/BWq2jWUgJYYLisGFYmNhNzuax/LeAXW1c/Js1ggd89NLg/i70lZx7vQBB+UnQgiDSCgAuBCZ3qSbPC1bpuFNASsdmxEivAiIUVSB2SpON0nfbP3AFbn7edGO9/UOXdxubV1N6n6StrU2/DkvrIyFUDy6YhRaZwxzWHBjJie8EVXBnuXddeRX4JhE6Nj5AOjfuWbOKuHcgorQgrKX4XgLBGy8QfcTvLOPGq6fjLx/8huXUIoYRXIkBwDcv2n8+9UGXLEeeWcamLYwPxSsYwKo9q6MAQXwHCE8U2y6kRS5gDQJpACX0mfBsusxczlACtWXlvGlah3PV7JT0moZAGCsYcnKjQIq4gZF+JafsS02xCs8T3KAagJgkJK6jN1oEBYj0gax/L8pAkYHkz4zX/XTcNTnLF/fNXIODYiTbd+yAYUau7m9duHZykZPfvIwG2TzLaEuy6W4uB1lKJGmfLCN8Y7WtduQ+0+xNesv2Yx3KyGQBJXlLjoMCDSpz3x9GP+XiZfzzxdPjCF1ecPnly+ZGdc1/XxkvaZduY6fd+QHwWlqO07iDV/W82gAaYD3kIv/P//P/4L3vfS/+5V/+BQ960IPw9a9/HV/4wheCQqQE1113Hc4+++zk2c///M/jfe97H0ajEYbDIa677jrs2LGjk6av3PWAe63SROIcwG/GerMSBFg6yR8g04YnC1xNdsPOb6OcsHD/fTyTbNPKiQ1CRrBU4PSXLE9NRJ/+kuU1UZyIkkcrfwTpOR+dEYt1ELBGHj6PIy44bvwGLrbJorfUGSAxpTQEWCIYP2B6swhl5cSHPm1HCG0T4ik8SwTJEbvpfsjp9xDrAd008r+qQMmhwDsn2nkNfo4534be8oYBMKeESVZv0kcD5x8fiMqpcMqCglVUcvICary0SbYQF2IOOsW8nQUe+dvLYRPTvmETAt/3NSdYsqmWfBtJnw9vec333FP6u6iAy3502p8TC57RYKNwkawR1X85PTINiMLEDmJwRn2SQpQm0o6OUKwApTmfJsju9ZhwOZ3GvRNcXa4N5LiilgYIygaBN77xjbj44ov3q/pbb721qOg4+uijceutt1bznXPOOfjVX/1VbNu2DTfddBMuuugiPOEJT8ANN9yQECzvfve78epXvxq7d+/GKaecgs985jPBjde+1j2HtYMkngZQVpKwdoUzecFTKMuVS5SqAiyroOVjUoqCHGNOj8yDomSKLCf+2WXrH2OiqFmYIn2S3Am2xfIntzSRcfPOJ5AInMOQcrkJteHNhSwlyBjjDg4LAiIOTdCbI3t6IbE+8eVwdi9zj6RvHjczU9iL8jwEOEEFUXQpQuzKEesQghNoeGJXK/OEprBswtogghOyGAsioBlYWDJe2cJZwO7Cxr4GsP2aK0ADiZ0RuX0X4F7GQfosc0btdaTmEPt5oxQnLN8omRs5B67+h3R9E6VcTC9NU35QeEf1OdgDUWGSFZnM6XyB9BRefMXlyJwaN84As6bfJ5iBFpnDHNYNhAbXz/p4O80nZLxMENB6vB78+GfpdRBlkSU0Ix/zwpu/MBHsQsb3FUAHcp4UnfdBly6HQO77BQV+hhjd+B/5GHk+MHEZn63x5OBojfdkpCf3texCP5N0pTIynpUq7dHtymVVQeAbtghSrqw49CMojoy3fmTJ660yhFZJ2hdlSk4+QuE363LBLuaIdETeaSra+Bi8hCSoeMf6RFxbsXqn9yoWKxLy2yE7qxMicOPimoAIWAsLCAWnXrTsDm+Qd3FXkBUJf29aBMURkPHtiWxL5aX0ffdweAqdw5aZVxNRQsUKsrp0GUBab05fltqSzftp4cFvWI75VfvEAi6Rf2XutWrrtEZrJQpif5/LeRNrJmRjAlTHf81hBlpkWrnIa17zGtx555045ZRT0DQN2rbFJZdcgl/7tV+rVnHrrbfimGOOSZ4dc8wxGI/H+OEPf4jjjjuummajZRj3WqWJCOAjk6I3L4W81X+X0f9XiBrwk142A8SyBYLJlTCOhhKlQ3JKD6rMbDGd/lvLGaOUd0zqUxsDUbKp5dYoN/zR9MTCI89XwmsOHQfgDw2wIGm/G4oQn6LAhyyCGVuU7DBo1VmP0NiXNyaQ9ScJ5dSAQlYsSBiqHHAQ9rpNm4ubfUJEtAi+MUEc2saGlGsJxNOPUgi5cS7GuggVKYKi8M2SjUKVC87eq/JyiMHluNvnEsLz8y9YlACJYsQpTDgELuOBE1zzwLvX12aueb/3YcOaBKf/1nI0vYxdCIRmcYOF2oj0OkT8DOwfFDetGkGZQ21D0bRaLX8+J3yfhFBlit82CqTU5MisjB71/CtT/BGII28d5U/YWB1viWLaULJyy8beT2tx88zGPTwuzYm++xxPIqDSzppfL+icBqukAYDvfve7OOyww8LzPiuTiy++GG9605t6y/3KV77iyi+5CGQuPhd41rOeFX6fdtppOPPMM7Ft2zb81V/9FZ7+9KeHd895znPwpCc9Cbfccgve/va345nPfCb+9m//FktLS/tc9xzWEIQOSPCOQkxrKKwTwZ+BV5DKSb2Ah2rERQon/tllsbxJOC6rW2iuB3zk0n22Pjnl/30zQAsFhFNrSA0KiCwxpXdj42T7WdyNSfWV9uGqCWIhTUnZ0jcnJjYrJqDQL46C/rD5ZHXJIZGw73p6jnxci9L+kDOP1LXm7Q4FRZoKfv7LPmTESiatiIwFrPFbqZuLidu5qebHdLD9/W9zRVpKpxS5uS3jwOH4r96Qu+XlViYzu3+aalorAqM6P6aYk5MqUjhk+wcvn9y+aZqh+KpimmmaWWlDr/VYJf1GKE1moUXmMIc1B81XA+goNjRKJfUeMU0u5JR4p6GKXIFQaIMEiGfjeJXI3zFonC7ah74yyjTGm9D19y888jiWYwlRDgTglDel1ij/8vodhYaV4cQ/uwzNcAlmNeVNTQsXlHuc9ZnivcRDSLxGcEwTtvtpeOs8jZSj+MqcNOnkr0Efr6veBSWKOsynT82HwzniroQRLE5c3/0ebhAOVyQ8uuJZofj/rrCfylt/Ng/FUiWMjxL0B6G14GRdnq8/WK6UyGYhQQx7cmbtaJFT3rTsPrftzncCgnysA/m2J2MrV0leUuDRdX/75CVJ+p6Dtb0HVfNvnOMZX680Scu2Trps2R/k9uuwjelz0l8rJvN1KO+DUo6y+nWx1H3eaa/qT9J3/VuvVakvfJRu+WsN6yEX+fjHP44Pf/jD+MhHPoKHPOQhuPHGG/Hyl78cxx9/PJ73vOfV68m9/oi8XT0vpdloGca9VmniYo2guBjJM2rJKWuL1CIFpbzq4/XwweC4UTbez2BAcNoUUSG9R/72ssuTbYjxRDZn97reuAnllhGzwOkvWQbkhDpcW2mAcCpAmGkR3gctf2EMgoY/mMgSqAWaFcZwN2O4x6JZYZhRi2bVoB0SrLc4scqsNo69X0CiNPCboTuVz91v5QcwKkSU6y5tdSGElZh1yjdR/yHjS5QiNdVnbSabWqxUBlvNlVAGZCMgiGJENgeN2MIcaPWc4KBYceVRKowW65Mm9pGNs8aSuDztIgEeD+rTQMnGxll/9xEe8+tXgg0wXiKgcYQwGDCr/kRF9j2LCpISstfTP/+W6P6WjVj/rwl8KBuHUt36f4JGNP4BosJWW9SwPCfl8zLOgz5+3op1m1hseVyTnA6qjUmCG9EZ+15iugA1uVCQ1ek64HD1ukPtm+VpABx22GEJcdAHL33pS/Ff/+t/7U2zfft2/P3f/z1+8IMfdN79x3/8R+f0RB8cd9xx2LZtG771rW8lz7du3YqtW7fipJNOwmMe8xgcccQR+MQnPoFf+7Vfw7HHHrsmdc9h34EIwZIhPuP+RT0LMByzmmmIDTEwcIhS3HS5WBGoroc8aHPa6HSvK6UT5cP+wAM/fgmaAWGwNEa72kQXY6ENsXwW4qpapc8rwbvJjxUI7IUz8fSm3x89ou7WozsKhTtzYl7dFOikmCcndArt7ulS8VW+b4W9jbO9yBEyHYaOKQgBwKhaOqaMtELoeTsTGir+1pYaAAVm2wIgNn7N2Fi+J5LIsBNmrJHCcfsfvj20CQPf/zFF6xdjw9qVOCtVAUnSlEnv1whCmZr4qVSUz9cwBbnb3E4R+9B4xetUn+mlnX3L3I3ePkGhDVWFyhpUN1V7pqRF5jCHNQfF92gWgIAoTCzxG/k+ofIHa0RdoE6veKLgpcMLN0dbyPHWFjD+QKXU/YiXLjs5jj4dvoKgHKkKYgmwq44Xsgvoer+YAR701mXw/Q3Gh7ZYuq0BtY5HpbGPD7OKcAhDe8vQ7TEtomLHOjdkIoNwgl6/P5rMygKKL9VFFnB152Bmzo9mcgv9vCPXyL5j8dChzCFpZ3Y6n/1mHuQSLL8ptneYtin/ns7Nm6dFgmcGIHHFLnIck5Wh+kS+E6zHQqcVxQTDyb1slIGI5YRYE9lhWldyBimj8WeFk9/sFAB2CBGbOUVdq+oyQDtI25+4OJO1qdZyIDMz7zFQTa9BkPdksgPS9YjlsFKYJPNB16vkDMGDSkWWI/0Jsp5c4UVu/VUPXqo5TaPYD60wSdIp66OEPM3WDaG7JqpkaLa2SjKtzsHejaBDpG1T0iLTykVe9apX4bWvfW2Qizz0oQ/Ft7/9bVx22WVVpcmxxx7bsRi57bbbMBgMcOSRR/am2WgZxr1WaSIn68OEBMLHl98dYaVG5iFNymhKnuo8C8jYI2k5yV3g70qbYUDccl9R5OjfwvO4RR+ZH2HqzjhvGTf88Y5aixPQJ1C0BYYgSfaBLvOTJrG9Kq9Jy2E/EKYFzJjQSHD3lmHCOFDcGH15vcgor1u7qvDFAQhIHYQYsE02SBaFAsc4LcWLE+Qn4yvjn2zEVP6+od05skYcezd25LSoSumm20KA92Hm3WGAXN9F+Ud+LplYKROBW1YEB8O0hNa6XdFZn3gfpXr89XiGcS70ax9htNkRKIMVdWLHrz03LhSHqbD5JJDPCag5rcY82fz9Bi9WR/nJn2T++m+XWMAUCNHQHFVnmBdqbhKggvjGK8wDouiaRPUd5BQlmkAJ1kSKICq1KRmrjLjRfeK+ce6BmtKEpSyFe9d4KlVhGvn0vsjejjrqKBx11FET05111lm488478Xd/93f4qZ/6KQDAl7/8Zdx555147GMfO3V9P/rRj/Dd734Xxx13XG86ZsbKysqa1j2H/QA/uXKh4KzKZy2Ml1goOkZKUJxkYAx3+JLo5kiQWjeftjKJypKc6k+fJ7YCDH9C36WdyWUXA6Zh8NA6V0nST0rHjS07YXZ2qj9uwogKk+Q9gwYIAUwDgmXpbC04df9HC98oodVinrIymiYVmxYT9oHuN5vSkCgpM6WX1Abkaape1EjZf90utZ92lCVJvqwGobElAFftO6zx5sEWoJEBFmxC80W3YBPqLNDn5XQTPlBCcKH8u1ZnIHYKDdCPpS/EYb677+PnfT7XSjDtXKvRajm9xKmVl8Yd+w09bY2uDtemqj5YL1pkDnOYGtRWmSxzqszPbM+i/LkUyxGlJNkpTSNZxbuBnKZvVl1aO3C8qIAZRz5FTpJr0kXzhmEtiyC3RRCqa0uTU960jH9+447y+OSw14DGBDMCzIpT3DSrTsnDxvHM7RBJHBXdhiB4ZueWHBYhdosWcicKjGxMAXTxl95Ds30g8JCT8kq6Qp7kO1e2lOQQok7PiO4s5SNpDynSTmECCelhE8hc8S+EPNPu1Y2+XAMi3+p+hOfCF+f9ztvsed9k3KcAshQPHK8FsJtrolwMc1jmmLSP4nv5hp25oL+f+l695K2MI8W0QVYCldek8yRMk755rOtS8z9/l3+foJRhoFHWN0EpquaSFi4EK6/MmijhU1TesvvktL2z0NjViaTJvAOw568HLXL33XfDmFSL1TQNbI8f9rPOOguf/OQnk2ef/vSnceaZZ2I4HIY0n/nMZ5K4Jp/+9Kc3XIZx71WayIIjtYAzSOZ8QLQqrcdIndPXeqLl77I2AHCC7EIbyW/oscwMq2TILQjpvbuF3PdljhQI0V3CmS+8Ete/74JCK4AzX3Sl2/j9KfVgTqrHIkNgNYFq/ly3ycUxcSdLxosNyBo0I6DZyzCtu2gFMFr4i9I3UeOj2wdE5YEeE2kYIVAuxOSELaJZNnCCF+JuDBTS9744z1zKb0jRQDitGhQWOWOYbV7JqQU4QkOIA9sAhsn5zBwrqlB8d0qlrS+wAWjMweJEXKHFD0NJoDRuCDQ0fsMyoc6gkRfzPZlX3vySB8DX3zklwZnBo597JXgAjDYTVg9zc2Kwx5/ekRguam6zke9EyTwsbfj5WiLZaPP5HDJEYiT+9kSWNxsP1huK4A6nb7V7KxlmtW6LG47MJ44ECGSd+DYGJaXIjLyAI8iPOm1GPIWRESq5ZoKQptH5SyeyckK2A0VCt/x9GJEoDf1puunWHErfvpRmneDUU0/Fk5/8ZJx33nn4wz/8QwDAi1/8YvzSL/1SEoj9lFNOwWWXXYanPe1p2LVrFy6++GI84xnPwHHHHYebb74Zr3vd63DUUUfhaU97GgDg3/7t3/Dxj38cZ599Nu573/vi+9//Pq644gps2rQJv/ALvzBT3XNYPxDXL5oY73UFkzNzIY9/1LFs8LRBJujXv0N9oiDW7hOEUfAIJglOX2tnvtDVhk2eq4rbcyyjT3ESg8sTWm58bAt2+1qNYyc4SwDBnWFj5TiO/rkOMs6W1GEKNRZZ2b2gaJCo/BY6Lb1fC/xCpR9KQaEhFZjUiNPubSyau22ujAfnc0XRRIl7N9ns8nWgvhPg5q2by74QzahK2pY8TQTcfN6ryg2bANv+9G3A0M0HsC+zUf1mAq8aZwWjIaP5SlDcN1W5oajitM4KFoWTHIpKvm2tBZUXkl/4jaAIcnPJHRziVHnSN3f3Z17r7yqPsrm5Ty6zSm2etJaBOq5bSzjAtMgcfrwhD5iu52NwVa6eJYdI5bQ/ynwEYtJUbqLcYWohu/V8BzEw2MMY7nIJVw43aIfOAwEbJzwWvig5bZ7s18k/196xE64az8tJfmnDg1+/jP9zSZmPfdiOZYCAwRLAPxrAjIHhTmC428WxbRcIo80u/kqoT40R2Lvv8vyzjEezwoqHIzSrjGbEaIeEpo17oR4nnT45+V9qeA3PcfddHrw6L1CPZaAT80r1fdZ2/X1EAaLHh/Lvl297NtKYwZW19F3GQ3jXTr8pbY/8FvkSCs8KsS248UHrSeQC/huJN4iGXHwT3/5/e3lZzjYJTr1oGe2hwGiRMdxJGO5yMTfaBW8tJdJa9S10V8OeZ9P/yXrW368ilwzlZeMmdYhHHCY/XoN07IMMxqIzH0okaeIOnpHKRHWmnAZU3zyJeaznsfpfPUyqcJR2l5fQWYWFVjQ0rtFlahyKcpEpn605rAMt8pSnPAWXXHIJ7n//++MhD3kIvva1r+HKK6/EC17wgpDmwgsvxPe//3188IMfBAD85m/+Jt71rnfhggsuwHnnnYfrrrsO73vf+/DRj3405HnZy16Gn/mZn8EVV1yBpz71qfjLv/xLfPazn8UXvvCF2Rq4n3CvVZp0Jnw+AXN+sGdxa0UAS3n+v1aiJO+QEhtFxUryPDKbXYYpbZvbQDj6fCyVq7JqxUmetoMUa5AtnGp9lQWmkcVX37MDD7tgGdQS7F6ff8XFO3Gutxw1IFptAB0tdGi3F6Y7AXa0umBhCkPDKObL+hE09Jad9UaryxYmldI5VRo338fgF92iiERrByeDjCYg+HiyNhJKrnTXPkKIbyKWKX7+UDbB4/i5MY7SN38K2XJwBSXu60KT15CB+6nnXenojQHQLroNV04ZJS7IMoVgdcPLiUBZUzYdAyFmg5lwyT2NzDdRhhlCO3Qng1pPtNjM9FrGJyi8pB3yZ9LGRzGZuGEL9+q/EDsBpSjCMUVW6nbChqhlnkIAQfqXuHZTddbK0d+qp7tSTjJO91DiYFb4sz/7M/zu7/4uzj77bADAL//yL+Nd73pXkuab3/wm7rzzTgDudMY3vvENfPCDH8Qdd9yB4447Do9//OPx8Y9/HIceeigAYGlpCf/7f/9vXHXVVbj99ttxzDHH4Gd+5mfwxS9+MQn+Pk3dc1hfmHiKufa+QLt03EYVfidZOrjORY9IylcbU9LW0jHRPkgUNbFu3bYT/+yyIJStCUXZAjwp4JEum1UdJQacUiRFxLjpea/F9g9coRKVy++tvzDmicJkGtwzLRSZON1n7iR1r6ZHsslhlXx/zYtJTu34f6Seh/0p3vfGmlDPEguq0jzxcdn2FbZfcwUAFdDdirTEJ7BeedhSYokTD72IUifrgprzCajNO2XsKX2PAq6Q/Z7hA8Oqjb42Z6fGNxkhID7gSzTuWs/jKaAPR/SWVaNXCmUlSuL1hoOAFpnDjy9oXjznL1C69/M18Cj+vnaYivyfGvsT6sza1C4Qxpucy+jRFuc22h2iQ7QuCBlm6bDn91pEeYiyCDntVcupsgPp3mdGwODuyJ+KS2s7QIh7EfrNWRnZWteH+cSlEhtgvEj4yvsvwE8978rJfVFFBrSc8YFVgeuEvaHK4+VpGMmeWC1HtwmRxEzmVqk+mWM6CLwB8li++rBfiVQsyV/CAch8zNQBWvmfHpbkMC+CPKbwjfcFQvySFjArhMXboxu68SYExUQpxmugSeQZIc5JG8fddRLd7zVpa5VvliUlwMnK8jYUys5JDag2hfmgvk90Tx7rlzxBZiBrQTUsrDnd2FL/8nnB/e0vPivRfvIqX6Q+bVH2NyP9sqawDrTI1VdfjYsuugjnn38+brvtNhx//PF4yUtegt/7vd8LaW655RZ85zvfCfcnnngi/vqv/xo7duzAH/zBH+D444/HO9/5TjzjGc8IaR772MfiYx/7GN7whjfgoosuwgMf+EB8/OMfx6Mf/ejZGrifcO9Vmmgo7dITJmSSXHipzk6vimJkjFC8TxQr+SYqyStC/SSRIBXBGuwq0oL/UkcCYqmAbD6dNFl5NUVJ8i5D6OEUe75B6VthCAWphM2pQnl5V1IyBmTl5IZjRlmdToCuAwAyU81un2MoUnGNRbLr+DpKbU6E3wCC4kSGRCHOfBBKB3a1SaQjrgjcuIRkff8tfFtd28S9FBn4kw/ZR+KYX3/AEKNGFBcyZ0rzfR8QeSAEfd52CLSL3pSVEU8W+DpkswyEpW6CzCMqf8Nk09T9ZLWMWqeg00qUkBdwQgMA3BDskDBeIlDrY74seHqksFEnRCTFNL17jnxz+S2WJbY7ZTjLEwdFETD5WOhklI2zH2sAPgaRVwoNFKGYLaGOkka1PccPG3Foc1qgKdqz3u29z33ugw9/+MO9aVgtuk2bNuFTn/pUb/rjjz8ef/3Xf70mdc/h4IOOj3+tcQSgFSjTurGJJ8gzCn6a/FMoZWrCx31ytTNhTWolSdc9F/oF9EnjpqtvvyDnOGepq9a+DnOmCYr4vLQXTIJpFCThlrI0Cc0q9EnchPuE4DUloFifxP2VgxvRacEpSmL7yLBz3WbY0VHeBRdZxOC24sbO15vGxfH9CwMB5TYPqQKl9M2Zoj/vfH7o337dBx7CIFqdaMIzKbtQVg5JPYpYYV+nFxblPMjM62Qf6Eagf57k5VI+P2tZa3N3g+BgoEXmMIcgQiC19PX2kfEKuRvhjlKAVL4cX5Qgw3fjTYAdGseHDHz5wp+UyqvgVY2iSKcdq/cSgL5n/yD2LrfIu9KycDFSfAzGcKBT1UE5Ltf8UtZfsZLIA8jnfdU8l3MXn8kVFBT5M8WL9n6X0jMtm8joiKrMqVBHlO0g8sQlWkZ+aisJQMUATRnSRMGhPC+Uyg3VGRU3V/fBoKg4CenE1VjyTfUGPxs8+A3LUb5jnDVJu8R+z3Wu4JJu5GOi2qy/ezhYYb0cQccbKdEY+XeUNa2eCxkX6vDjIms0eMxA2sakzMp9Jy0hKKtENpQfmtakSnK4Rx4W0gOFuTHNp8vHR99X8gvJFtKo9ZewXRtMe+SwHrTIoYceiquuugpXXXVVNc0111zTefa4xz0OX/3qV3vL/pVf+RX8yq/8ymwNWmO4dytN+j52jaEobTj+eX7yqmS10KlXERcd4SoX8giSypFYhhSCUNmSKpe7+dV9IlxWpyMsOAQIz/tSKkdDrzLGI3M5oS9lnPaqZRi4Exxm7NrsTgxS2Exdn6LypPMdRHhkXawOSc8A0EzARLmCqpBckDIpTbpmIEMT9Ik8k+PHuuKko+hSzwiaAHAvxMqESBQcsf9SkAQQDwQOoXdDjz5i2bn0ahnUupgzEpQ1UfhRHI8br97RP8YAHvX8K9MTmsad0mkXvcnp0BEK1AKtP1Fk/AYswdbCaRKS8Yj/OwSO/n5AEHiQ9WbSY0f8NgagFYBaCxoxzJhhxhaw3J3fhjAcGrRLBqMtxrmW2+QsUBKmQ5lfw32q9DuEArNGIiN4JJ8myGU9WHRwSLI+GSJLSuvK62evNGp9DBn/be3AWdXIKapcaSJEmm0QTWNNVra0NyPwkjEt4Jl1B/VtetPMYQ7rAEVT7nzzDLiDu2lqW5peS5qTyPLnp9+DoqXW4KxtU/OFjFRIrNvJSBQ8+xOrIFeQxCDtKYcz6ZT6iR++zCG0Jh+4UqXyLTQniS5xVYNJSXqJKVWXLq9EJ+aKtYJEqcpE5mOVzK8JaRKuWfLEsUrccNUg74+qo+vGiwAD3Pzc10woVClLpJ2EELSV1GZKQziaqlXWILLPibIkmde6fzGNVKP/iyKCvXtdZ3HiK8jXjG8f6zJDHvgYPnDCEXFNp6HAM6SNKfSh814T3brg/YeiMjgvvo8+L7Q5sXDahzYAzup63WFOi8zhQIKm2z1eCXyM5kvVXiF8uaQNShR5jsLSK6CljlxD3xrHFybtqFgSJoJSoIjrEoGg3noE1Si34e2CdxE99nyQuA3LeK7gmkgL6DmmCeOmyRGj2xXlBe2ij9Xi+3j6by5jYcRoFynjCfs3zRJP3CvHyoYsSZc/qJRDpcQ5r5g95yxN3v6kfM3n6vGvxb3Q/2sHLXWeXMHinyXPM745l/+B4A6y+vkKw/i3331Ft4MZnPKmZdcfz0PbBaDdxMHyiFpgvOTmI43dfx759uk+NMraSSkAS2MoFlvB1bq8933L6UItTwj3qm5Hg0DRJYg4Rb5TYaKVSNySvCKQAwP1WL69ReqOTdHBeo0n58H66tPPdBsDPd1t8yR+rKS81HWSKrsmY55kZL8mMKdFZoZ7t9JEoO+j55vvNGXpya0X+ISs+cmMoiBUIysuLHCNiHKkFQK7AuKvOKz/2gImFPkMLjwvKkyyvuv6ZBOycjpD9TGNWQFYkPNbzq7tZF2weNeP6EokaULVtpPqfdaNLKUp5ZUNxQv0U4bUW6YI8SRtDJvQFIqTDILixDeHvbLECakVFm+RfL9ESC8nDaR8oxsVK2WKRFkgSsQH6yRz1x541POVmbEi6OQUkR0iWjQQQEPASsAzr/QqxdfQ/QyEju9fsvl4okTmHFuABgCPyfsoJQxgQGxdbJvGDxxzSqTKiYqWY5B6xLpD2cb/l/oQN8Y+JQGT+hzy3aVv8ltOuIT10SUmgYxQyYgfXT9Z1xczBsyIYwDCQJC6ynWsHWkrG+cf2CrTZeTzJGtj6SRJ8n8DNuVg6jshzRzmsC4wgzCvqExgFAWFMzVB9mpdDFWsPzKpetXlUNbG3vukLbNZnUTlTzdfVJiE0l3lyT4NZ01Qq7OtEEJAd9NLjk0W3pegxnwV6qgqNDp5MHke9My7ovAfaZk0RZoOZ03duZpamfjUs+D9Wel0BUWFiW9rJ+g4AG68DYl131m77AxlKCgHto91pAk52bvD4ZTc/axXhgRrEgFvAROFc9wdl3ysquNW+AA04f2k1+Ebu5cT45MI3TwBH1QVnwn9xDFmkabx+9mEpI52A05xzGmRORxUoPbIwPfXnml+fwKvUcIPgS/KH/a1C10eKjlwmHdDUCL11JfhVDNy6RIrF0ReXOdLlBP+eWfcdKMK46MF3ONNMc4H+bbYYewzFRAYQzUsb1PGc2pFSfiGjGg10YPHi+NVydLJK3OlsBclAm/K7qV8zUNqy0/OypM8ucstXVf+LBe6U5Zf2hSY+WwMyB/WBeLhhing5Lcsh2LkcKJd4MB/MwF2yGg3Edq7KzpD1RaRIcKPFwgd19qsxkG7vNJXMt9zuaL8S8ZFzfkCdNaNz5/TtiUFRmgPZfU2qk5VZjL2jM5cysvV7gaTPNPSl5V0+XxKnunsfXwRo39trTHMaZHZ4d6rNNH+KStJWP+g/CHSRY50IQtiKZ6CVxtqYj6YL2a9KXjkpwXXpkXi2y8JoIXsXv13GwxlzzX2QxT++9/6AtTi1cqNfCPOEY1a8CIgB4Bv/LcdeMiFy0HATexkFGwAWqBgvSBCdBoTmhVguIedX8fWWUHooQvKlQLSB0V3XTpT8iyDzqZdEdh3x4GqiDHi9X1XnMhmYaGsTMR6QgZSY/8BOV0aAUQUxi05jUiIigEDH/gTXlHFaFZdAXZQH4NpIWzYjfdZuwS0m4HxZk+cerdgdhEYe3PMDpGmiKWa4q5L7HTLAKQ+chYnK+SvBs1qHB/tJz341PTtbxe9JcYwpqMWwBjRKkmvGcTfHYVHaQ1lfQt+VTVu8Rs/6XER/BBcm3EXvwhR3rK3umEfR8ivOz+v7DjigTBmfr3BW/445sKPRSEYXPhuSOt3BSI5NbMhm7Kuvy/NHOawTqAFgyVB3mQlQvo+Ffj256wJDqt1Fp73CrsnrJ2SxYeMh7ybGLugr72VhgRhPQNsCTf9+oXY/qHL03oG6nRBQEoaWfnf2jWEakficpWVhULtqFvyO6apHVKJtIlKUGMM+9Ki8FkzoXtVSVKtMxLZJVdoMv6lcilrvAhxXAB4inRSeC+OU9OqJ0LS7p72MpySYmiBQXxIOs009eb9r2RkmSsgz69Qmi/QBqqd5ClJPU+nodGmpOOK66/an546QpOnWM9CphfKnuieKyFrdW1+juVzL9QbyJnp6llLmNMicziQwOi4rxGoHXDKt8USj8X+T1EQqqsv4VLNI+l3pbVbydfZbj2/E5QoBf4RUoUciISXuwBRJkKRRynKcJTMoDM+cqpfLFSUe68br96Bh7xm2R9ec89WDzXuIFub1ukOqFGMyQkntLc+eHkRvyu5R8l1VRHlTYN3CvQE5TiNCmNFaR4oJUVJ4Jy0SfO4PW0q8dNFBU3eBz1GwQqLu+1Sz+SgJJDyy30QyJpGPG2w/7Yc6EuyhNGhbkI3K4ixcU3l+zE686UzJpJUyybVeuhYjSl5QjJG+ViqtgTLkxwKz5L1qmUUapxCVo71E8pjkeApeR5kIYU6uJs3AY17snVTAy3zCeVm36BP3ldsw3rDnBaZGe61SpMEL5Y+epcn6y9PJjtn+WRjNvG5pJWF7tzZcHfj0huvJ2SI4QJPehdJggy1aV0SHEnaowkEE9PIxUxRg5y5IQoxTXKkrBCj5t2C0DNf6BrJNO62HQIPec1yNCGU8ppUaA44wbkdeJPVuwHybW5srFyClccx4/CbhUEyFExitZa9puDQbe9+ozq2rGm09eGEaU8gVMs3cX7lM9aCYIKkP76nRphHhfl1vItwyoXSvjLDjJ17Ltt6okALz6fsz6NecGX6gADbkD9V4cyS7ZBDn8IJi6Y83HI6QOZ3Z9HmxJD6XfxGHM2w2wVCswCYkSdIdVpfpxDRVlnGJAiG1NxTdXTGjOO6TOZrtilreZ30Pfe/q5UgxY1PiEy9VhhJDBe3jglg9oozIdqcq7d4qkPFvGFHNJqBW9vUAjQktwy9Eim0U9Ub2iqDItY5hDohvIaQ0cnVNHOYw7qAVw5ohcMsCotiMkWJlxQZ08aNmLXeIvQQU1FRVFacTFV87SQ6AXIoIWeEEndOvn3bP3R5uez8WXDTw9GPtkGqOAHqCpOQoHCPmB6F2xLzGDXvSP93fmc9yZi2ThqpM6+nVHbnnlX+2L6ulUmt7JSD1NZMfZYHzOS+yRRTZ/sHryj2oRjrRvpiGJ0FpfbwROCyH2smxEZhJK4t0joL310fpVZlTXLlN7NiIKdrK4q4BApVMKftLD2vwaQ02iUhA24NEkLMpqo1k+Ak4nTs9gcHTglzWmQOBxRq+KEPPfj9M9+jEgGh/y9yieokLvBJUmayXnvakxfdaYc8lLYEOUiKViVd73pT/JL8D7wR9J6VkAJhoYetw0QeaeUI4CEXLgOIh0vBLq6LGVAiBCdmtAsEbpz3jeRgoVyF7YqzdnSUBXlipO9L86GqCCnxoPI+R61ZezptzNoRdYr9HwAAwPpJREFUGmviWJcUYEXUne3vnLdHjwkhWJV2yuKsfXDpQARYQjMu1J3BT/7+lcCQYnD5IcMOnTwr6YsF0Dg3bZ1vS7HvwWIi/w8k35NqY4PyeAeyTM1zzsapChnt2qcEnYoc8XnSQ8gIctaELsvydaySJrS3791U+7Ei1ThpqEqSj4mUz/F9KGQDiIA5LTI73HuVJt6HXz0BgtCyI2CdBBoxyaK2qjxxWdP41wRIbIqgVYaky3ZsRojDQNZvnmN3Ml77JQwKFC2UrP3Xp9FZlWudsLRdcMJsq08s+P4YQrTaUViro9HPNsa/v3IHAKcwYX8aIrjzKeVneO07AwYYb3ZxI7ghDBo46wcI0cBOsOuJBzktT35MHWHkMZahgMCSEwV5myn3I1r+9GWBRpqmd4PqIQ5KJwQYiG6mLCBxSySIObcUBNoyR0A+z1iVJadgGOV+G/IKO2fd49pCwfoHadYqaIWJjJW4ZxtvBkaHAeNNDB5w2PQsE4wIzpViIB9HPdd1+aXx68yzbM61vkMuKLw3z24zYrV1886sAs0qoxkBxAyyhHas1gu7WCyJ39CMqA1r0a87vUmyKPmyNRGUbxXFSDIXZY6EZP5XTtgH4YDHA3qzVvMyWp4JUnPrzIziejNjH0cHjnjUuo/85A0p/BOURa3v/xQE535DjajP08xhDusAtjVAGxdFWcmR3nfShLWcY+EyVt5fd15TwYxrRrvZymGSULcqcCUgKE4K7bvp1y8E4OKX1OqoBYzX7pG4RfRPLgqwwMQXLEwm4ZxKW/oOo8Tf3fZ283XTTGVJUrvPuMh8zEouuPJ6Om6bSkfv4ibWBfnWRN04NBls/+AV2ZOM1k7GhTtzqlZ/ejvbAqgqDglpAGUtIQA6a5m5O0izBE3fF0jaPkO3p1aU9Hzzvjbl+TnUWc6YtiHFR3a8AY7E57TIHA4gaNfYHcjwTvJKW1KU8lVwK1DnidGzDdTalihXRM6R8+1qC9aykOQ3sudZv4IcR9iojDdllT8IdbPxY0KUewD4+jucXOTU31sOFidggP0BUssALfoiJHA9U+DN2ERXYuEAX8ECgw2cDIAUSZLLXErj3TOWXdlBIS9Q5stLsg3tpcVkabWMRLKqb54oTSbhytJc1PWjW1eSN1yedpF5YB19yATYzf0n/x5w1ZXBQzoP2Huq4PB99KFpN9/IWaEMhP+n0Gd9eDQcKGWUlSjSDb3n1L6vdEvcjjdpeXEAVZlyzwgHQBPIv1FpW87rqHyLMDakktTmMFDGcfmzaWii0njldJr/nSuJBKdMe14lNIe7a3pdYE6LzAz3XqVJZTLozZmg+NsKog5l9UGONHqI/yAw9PkCo6SQsmjU2Z/2lxP/ZuxOUTnhNsLCCsikgDyDFYx6HxUpDvsEFztKCMwUwmI4usFW8EuFaX/oK5ZdfxejK6PEBZiMuxZKGLehBDPZEWE0cpVoV0imdYoTM3KxGTCCU6T0MV1iVdGodipFSef7T0L+hT7ndcYyFZYv1VUAztP7ecJ6noFg4YLEG/9b/3cOMV2DyaZipZxvTO7DvOLoL34ScdEHYb4hVfT58siw085x2tfqmMRiq5tgThhFYizNIAoL5xYuBowHvEczrcywTjEFZlCbuS+TMdOnGwrrnbxLOVHoulORDAsqK/NUX/Q76XrCMADOMkl+ExXHSLvqKxG4bLzlmY45w4BtCY1h8MhZIwnhy4YiEQxEN3yaIJTx0I3372Y9ALsvME09G9GOOfx4griDKdIGFNPUC0AnWPLEk9pU+Q1M72an0pZZQAvKc5dc+wolS4T0xLivz7AL9r4WkDFK+mQpEF1wxo2sp4xZ6wz/ObnnynNpX/Kurw3VdnExTaogSeuepDCR33VLq8IjP1/CmBeUBv3As4/9FEXOCn1zfhprkWnKWU+YGKNkhrxTwT5+s0lzK1feBms4u9aTpAtzWmQOBxVU5lpJeT9BrjldOboA7knTkyVjV8sJNQ8tW5SNv0UZkh/GA5C4Rc6a2uHBEpmPWtuOt42vxpucssQdUoz5ElfvBV47UXIJXyvlV74dMYLMpjS2pXMKpQcF/XLkhyvAKLzv0Cvxvz6oJ/cJL1ySvcj3qsml8jbl/aDsXYlWkrHu5I0EYOjrFPsGNwC1Ub7VURRKX2VOANPRGJRMm3ROFsi3adZamFtZ2eGmInfpNqSQtiLf0e+jDKP7OjnoOSMJWIRSW0oyLz0v86zTyjHyNq8/udELc1pkdrjXKk0AlDV12QKQQOXQAn1J4pFOWfDofwiSUxsvEdypRKlDrCzGBNM4V0UAnIKgoeC6K5xsIDiJrXGuIdgA5MugAdyJeCWgzTXutbYliiT5Ly6zsn6TBdrGExnKuiUZU9lQ8oXvy26XnHVBu8DRB6EBWFyVGf98YP2pCA6WN+ORQbvYYHSIiztBY1eJWFOYEcGMgGYFaFYYgxUf1FpieHiFSFTWUNE9Wq7YKPanNrYZJHFjAsJV5ao5lrelRLglm7Yn/ILyy7o5IVZD3DhBvtuYAZZxaj1z2DrLHO3H0rWv1I9sPtvYXrLAje/aURigrEwhsMnHvvAKBjlRASanMBswrHHB2WmcWnrIGOSKrSoWV4M58cSK9M1nI8B9HwslbEq/l7PoYQzGAFa6bXB1UkIE5krCYBXUuvkKuDlqvbs68V0b3P35MUsIiJxoz8eq+FL3n8L7zlzI52pWnh1GqzewSycxTazEgpHiZXxlros1DCNZZ3Z+omIO93JgS+C2hGzhaQaO90lG/88rr3PFSR/VXRdSevV5qTk507ifkAvKO3XsI9T6Vh3HfSg7tNfEdrMlt6f70y4ERNziBRXO6sQj7X0SFOfEpm9XwrD7f4VnKYebP5uxKZW29CpKgG4fUPlm6lnHdR2neYgYzbCFIcbIf5P/+6zXT9ELTv7VxmJSMPK8uJhxH9LU9uYDwaFO059a1knrcBaYIEjZXwgHgJQkKG//RihN5rTIHA46yKZ97aBW2IvCH6gH+1CX/J5CoKmXanIAtMQ353lKfcm2Bf0+qUte5W1UsgBW71lZ1OeyFQDxkF7hkB0oyt9DeZ4HF48fgffSTSkoGYgBtN5AhpF4+qAsjyWUZRuF8ah9k/xdL2R8vRzYTdxjqblBGS0AILii78zFSTxwqU9TAKs2w3o+v3EyDAC4+bxXVfPaoXNxzYvoMN0mi2cWeIIeMUeHxItbWsjPlKZJhqhnvXbeUVJNbEfhWbex5TInogtWU7lSEU3VgAJM8/1L870kf9FjrNaepMvxT1G+WJmv+3RAeVaY0yIzw71WaZJPzlxbGATqIlTXSFvy+D9FqxUteOW4UQJ+M/R1knXvuIU7ua2DK1kKbYAByJBSKBQ6Rf45K6EHZxfQaSt3fmRl5iDWKdJWgvdn5H5XzcYEOZNz9zXeBLSLnGzOoX8NO6VQw6CGgYZBJl7cWNgBY7xo0I6j0oQsgJac0mTVuU9q9pBXnhAaH0QtNEkJbBOLD2QITW+I+p0kEaEICvMhjLveuVSf/XeLJ/ORBPcGIhGog291hlfScyzXhHcuvomzDEqtTuCfIcxHTjciQ0mfO8ha5ni5WWlSdVomKIz0fGY4qxfLwTUeN25OEPmmeKVgGFKvYEuE76WNxltx5N8170tUBkXXZmQBEmVAdsrDKVZdzBOyBFhn4ZTEB0H8tuGbGoAbCm68tILMlQXvYg3A0DXYhoopWqlQWmanbxnR3afITMcr+6bZxs7qubTdksINMj7KiiyUI0QPI7pAVPOIVZlrIZydCuab/xwOEIh1hYbgj58QLS8Kc7QuyNWb2QyNCZFLu5l1YObA8OyHALTPHde+QHUscoZlDcoXIWsSr8OobySWmIoOI/L0nkdyQXmi25lUWOiHfh1wJCfv68qSPN0aDIpqUznYu047Q31FJUopXWyHIYYxFkSzuFFSk2Mt9pppypiUZtI8mCbvWiypCeO9z8Vyakm2P7FfkrbM2Oeu+y5F2BTL2iBiZE6LzOFggR6eOHkmrzR+KP3O0pX4yVLdU7dVaKb0tgMTdPTdTNW919+HP/6xwiNymDE0McehWuakZSuKx+zII5Q8SR7bgctjFH+ctE9uM7lQOKwIxacpOUL4X5Bf5NCniCqi+dL313Mrcc2VHnhMs3BaQcajFmGWfVgf8NEiEkbi3jwcXtXjNgkk0DtxdOHCUc5RdrWfftjOoeeMpy8eiq6AHMacJq1ASZmSf5JO2lno8sIe37HGKcGs5WOC7KFE/0yBSxh18jepL09TwJsbojCp1D+Hfrj3Kk0Mwul2Bjqn/FPNdrb5FCY4VRBUrljQiE+zdUwAj1x9RgImB6UNhbawkUBReQHZf+mXYtilnUlTVV/iZlTemALitl1LFonXoGOrBMGolOPHod3kFCZ2wbWE2ogIyJLz6eg7QExgWJBhmIFFM7AwxKAFBtGqF6RzhwFrLWE8brAyamBXGmBPg2aPQbPXKVPMWPWnMH5FRZiC4qkSjgSJECHJPNCEinwbxDkmLtBYrApUvBAR2uexa0RwLkqF8M39ZU1sB/vvZkUJkFmamDEFQb1rr96dlIulnBAwSNZHDc580ZW+v9GqJwhvWmcVRC0wuBvgAaFdJIw3MewiB7dsPEBQXgSiO1hrKQsl3RY1Z/vwP0nwWHa/o9WSxDTxdStiVRRwwSKNXfVhTFc5IaBgyDmm9YShHRLsgMIal/aall1MkLErzI4JdmjQLgDceOWpxkkKNwRXepC+SAcRFFSd76Xmb74h6zk1ST5rB92101FiQa0HT/yTtI+69QULlXWEuRnqHA4oBC2h2seQKkqSmBx9c3EC0T25LfmDAkLQTcmPrFWy5WV0hKY5jihZMezPGtTNzHHfFFAS7CYBxwneRVTcfyh+vHiSPRwx5XiPdLvtVlTpC9BVShQZPtWmNbC2iXXXv/k01iUJ9HCCvWPjK+aWMBo1IDJoV/s3jTSeyeTxiO6/sjlbaolWovWW2dvE9JtTpb6eeaHXy1Rus3raUwzWvi9rsYg3Ku1YI8HAdHFSKLtHuX8bQAPMaZE5HEhIDiwJ9NznQjx9+KtPWVK7Txszoa2l9mVkkjShYzU/CfI+FfbVPr6Xs5tcFhBlHp7PGSK6SicAPtanyKa6hfrmiJcPkQkMgVZ4K1J5Jb20QR8I5PS9CM2Tg5JFuiK+LyrBKmnTBk1IK/PRdOVS+RmeSG8FAix2qlR3AaJMKKd7qVuO+q7O/WoctKBMGfdXuv3db3d9HKT7atgHcutGmdAcv31sY96HjB+fYm9J+5yVp55NBfm3zZQ/eVuraymbU0UFTZJhwvs8TUASqq7avCxMi4mg11GpbnmWrcMOLeTvjd0YDxxzWmR2uPcqTURALUhZub/quEcqLQqNvAVPKt5Lb4aBecrL0hOS4n3w4sRwpxK1NYQBMEYqeJ4SSooAIWwCcRE2KCjBtu+gaMCJAaKoXRfhvZh2yuWJA3FvBr+JtIteYQXZvEm1g929KG6CUCFiMyKGMYzGWAwai4GxGDZOet0YC+M7ObINVscN7l5dwMrmAcZ7h2j3NKBVglml4MasQ9AAiZKjswFBjaN+lilJSMZLnxYA0EHQhGS+BXdG3h2TtMfAzQftzzJszGL9k20uDNcOFkIofBvyyhbXeGPEdRcHl17kBTsJ8STzDrHf+Rp5+O8u4+vv3JHMszPOW3bdNhTnl87HXiHkFWui7AEIYxILBnbKhYGbf8nJGFGUaKFRBaY+naCJEiEwGTHeSEas1ohyshyVES0HN17cUPINNbNBlkGjOPaizDJjbx3EFOcSBDc4ZaPgGqHxwrqX+VbaiCvDxpKuDxeWQBMJ+aFfjmV1iDHKflNcA+sJHeKzkmYOc1gXCOtALQDPiAFIlSf7KgRcSygyJTk30VM5dfuRBM1W76cV0k59Wj2jwdYMhHGWb5UzekEr7fZx95zCOFFfe2p9o3TMur9n72AnGHvhXTmjTld4zznCz971tgkxvh+7doiQQsebsGPjLJG9oGH7B67Azc97TVJWNwB8oTlMxflYcifXbazqf894UWUz7ZxCBkKfdfs6aWaAWb5t1+3JfsQbKvUtf6fvZ+lfoUlTKZpquJIKzzZAQDCnReZwICFZ2jWaP1vH+yU429e8pHg5tTfk+6B+VSun2I68rOy+JFMP5eVlatmL0ADSPut4HB74Mvz6Z+F9RD5Qa4dR8gFl8aDzad6SfRnUwrvwRjHWppZLJDygHrNS/yc977kvpe1TmMj/hG2clsSotTe81gKOcsHhfITIwUA+xrCn6ZRXjBPf9d9w00tfkeTf/p63q4an7RLembxMLCQRmYDh2PlcVoXCPVS5nY5knZc+yVzdl3VeqyevI2lclq+ycCeS+rX3tbVeS9fHahXp7exdT5pq1Qpn1BSX+tDwesKcFpkd7rVKEzsEsIhUWdInFFTIkVBYFBp5ctyEipYGPpvWuBI8o2VV2WOfXG18HRdEeoMj1Q/dtqwfedskbbS0IS+0Z+8aTJhdHUtBhDo+uxe0gwAyTgAefHcW3E2Z1jG5yQYv1hUDZ1mAxrvnMgr7+3/GK04WmhZLgxG2DFcBAJsHI2werGJoWhgwRmywtx1i12gRd64uYdfKIu7eu4DRqEE7Nt6PPMU4GhbexZJ/ptpI/lkkMiiMYxhT9T+xvpEg4hkSCt/UOEWBjIEd+ssLjF2AcYQg5FoYnp9YKRG64QSLV6DEdruErbTZipupeF/bfEVRwL78SRtZSWGS5PGEHMhP+VVJ6wgDu4BgTcJN3E0SJQiTG6OcOdfrU+cpbaJTbkZk3XcxYw7/3Xf2ViIj9u+8iYsSIhLDC3aMf8ypOy/ZKMUCxRMPZsxhjJKx9evH+qsdUlRWyJzzc8R6Ij0oO7lbljAbAccUlFzlQUnxTzIfNTFgs+f6neT1z6eVhe4X6Db0pZnDHNYDPNMVgZI1w1oKfTDOw1Kbeo/ZdzN2BJw5HbNWeEAxg7NALaZFx8VPgVHKhe3U+LL8njA56HlecG/iTv267j6o9XFaZYlL21PBPiDzju7Nf7ugODEc3J1xS+B2lk1DEeSdeilV2BHKCoPwjeXeC0z29YhewiUnrVRVdvPW5tA0LvC0e8A1dZtVrXCKNPsw3cOrfVGWHCx4dU6LzOEAgvCs8UGFXwOSeZhbGhTRTWmL2oe5rBUlieKkUF/psKireMJ91sbigbNSGZXxEjmBjt0IIIkPmbhwloOjPo30uyRoZnb8n3hU0O3pyLW07CCRZyAdJ+rmT8oqjXmBLy2OU8aPd8rW95QqTEplaurIfSfuWIx0eP4aZNtCPuDF0/cs8VbZH04l8DDy873eEjQPrH73WoiEcWAwUZxbNSF3zpPrZxXgvA3Zs751W6yDu23rUzzMTPdPkS45a1JYzyXFXO0wbK68mwWf1OQoerwThZzMDVXnXC5ycMK9VmkSBLR+8TMjta7Q6WTiaIRRKLKUDjmSsQrp5sinsCHrE3YEuPgGmdA5nCzPrGOKG4TeKFX/AZXPu4cyA3KC+wEDXuCt+9A7vNJ23R/pligWwgMEl2PceFdMQwsaOHcIEsdEKhWGSNxyNcZZmwDAUjPCpmYVm5oRGmK0TFhpRhiQc+tl4PLsbYYYt8adTrSeYfRKE2aKbjf876BMackLoSluzEzKdRmipYYP6A0Tv5FpU0QclAjBxRSCX1NnoeN3+oxAyB7Fb+vfJ1RETmgpoiBYsjCCYiUohxjKVVcFoVuGc6GWwsNftoyvv2NHUqdWmJRMhoOAMDsdExorbaf0oQjXg2KrRiBzHPvyaQs1aGpNuRg7iHGJamsqKFCcWy3TMqhl/9631StBLJEjhMPm6dO1HBRFTnlJQZEZmmlj3/U84kD4urnpFJXKb76nFELIAlOYQznOILVB5wRDAV+FISkQuUldgrtK5elxnUCcrRVMU89GtGMOP6YwiZlb77lXqnt/6yzhyt6KswoFt/k0JUHx1FDA2ftUTEWpkBSdC9uh+lATuNcaRFD1pWXW0u8rzGw9sBFMW1/djMzixL8ISgf3b/sHL8fNz33tBrXL78uJkmzWQlj9BcBqz873XPXJOnOTMZXCZJr3U0HPUt6vskrQJ7DJlZj7VMGBgzktMocDCSGuRkFGMQ0uW7eVpXBfosTI+elp1kbOq+hXta2Y0/LDz0qHc2Gq8FHhsKHnGzsHHclV1uGhKCtXtcPRCb6RRiXSipekcei6fcr7ndcnfLt6Po0cKC9P6pIDl5029EygkgIojJF+xeX2FetcS2BvoerjEQc6xVuePOAdV+LfXnZBbE9Lanw58u/SB4NoVSAHDdPqopxN1qzUmZPTtW9RA5l3WVmhCr0W9PuCPCBJU5BF7TdMmjOFZ7ksp6QwqeWvylcntGVaqK6rqXiqtYM5LTI73GuVJmYcY4fYBs6kTgIWq0mZKDz8Jqe1b8mE4QwxcIrEi0qVvAwofqiwmYoSRRBl4opH/1eC+gSk/jazfNDtJjcmdsG50qIhhbHJx0UzbyEGhI8X0qlTquEY9wGI4x6E1EMLGjKosTH4O3HoT87gGeKgNFlsxtjUjHBIs4IhtbAg7LVDAIAFYWwNxr4jo3HjFCf+lB0Dwe+4MF7WukFlC688IcArWoIVililMKIyxStO7IhgGj/XVgGMEOPcIBJSOpaJXBLc3Ancg3QlEglGfbcSgq8QQZ3fKh+zWwtBYC2WJkFx4pQoOjA9tQAatZFOS/RoAlethdBs6aM6iQNCNNVFzCNEIAu1lLyMlXeIpmT9pg3XSkQ5IcQW6kSprp+9gskpSkzrf8tJYgJAogSR+DAUy7B+MJTCxA7Jxy9JaOC0TllbhKDUcUQ5OZ+Xqv9u2rMzGfZEe6ev8g0KxHoHsnHofNvsWeiDWLgg4qsqJStzb71B4ePeNHOYw3pAba9ez/rWIs2aMUA9nRWBiKogdyE1Uei7hmPZ574qVJe3y2/h+3JyP+8bTxjofRWAT4zRkTzcpypmaMv0aROLE+/S022EfRsL4rv97UsPI1sSMuqYN7oZKkXyIryuKU9kilUUJtOCnrP75OpumufFimfI14cm8jZX09LkNPnJJlqjuTINzGmRORxACAf4FI8X5pu4r+4TyArMslbWe11plFrilStQ4rumRo15Wi+lDXy7wuEdvj2vo4cPy5VH4rkg5FPphF9kwO2XmqYqWQFk/FtuBSP8YsyQ9kv3vTNu2otFJkebej5kMo1Qtd76s8k6LXlU2wKKCfN7L2PT7tXL0nvXbhK6JQMzpiRdEWReAYCqL/k2yOZjIkdI2xK+t8j7qPtJk/tsXCaukUlkWR/U6KbK+Ey7VkufMNRXkKOVZB37BaV1kFfLWbs2Aua0yMxwr1WahFgTJK6iEGIVAOhOYs/nJLEubJpGK0wSQqMEOfYpvOs9aZBv/Oq/FoDWhDHkkXp0HeXc/jQjwIxco+yQMF4CxkuEdsEHKlNmhkl/RQmjAmOHoNSDNE9x72hcYHheamEWWzQLbQj6noMxDGMsGrJYbMZYasY4ZLACADh0sBdHDXdha3M3lswIALDbLmLJbEEDhmVyQealPcSw1sCqRuk6tYDEMoEZMb1nTF3sGRPdCXFUqvCYQKsGZsXArBCa1RhUPAhSlJWJHQB2yG7MvGaJxbrFvwcjPQmUf1vE570EQkZQ6c2xkyysBzFDlW/ulANmRCFoXQlu+KMdOOPFy84llD6tIsqygWoH/Fh4F2XtQuaurUmD7YLhlVnSX45lGY6ChpacpZAEvFcxbcLY+T6GTdi7M7MDH9In27TJeqVrS0EpETaagCt8ewzBNgQeGmdFRMp6i53FjrSbG0K7IEHiZb2yV0xyjK9i4eKkyLoihmkIvOLKsI1ztSexaEQJF5UiFL+Dt24qEhAFPJITDkUcVSFyZE6FR1Y9z2EjNuU5cTCHAwmCKxLkfeCaMzVMbOOUHJIqZ5rYCqU4C73Fr8NxqJnLXKMmTFVvbThmbMO+jNssCo+1AqEHyDBsa9xGTUBpIG5+7msmxjVJ+j0t480AieQK8PHjumtZLKRjPnVgR+pm+ANSPr6fl4DENAgbdRRgpMqO2Vyqcbo/5zRwRXgwEQpNqLrhm6GMpJxqNycUnAtdkqw1RqW/yDWBOS0yhwMNwpfKrXY7zYjW/WtQD1BeakDGv5bSToGDZk6vhMWSP4xDQSYEjyqS37m7aq118Xg98P85n1SzMqlZjagqOuKAguwndEgO1Xn317n3h5K8CcRdjyYyFiEYb6lx3bLYH8BM3KDX8ksZ2Vikh5YVfSjuyIVHLg5GDxAnZXe20uyAQrGIMYWPwiCU5t5Nv/MKnHj1fwO1FPdY4QP0fV5XXpbMKzhePxxm1W7jpUgZt9xjDCP5TmHcOnXFtnH82VXQFAclY3Mm0RSVT8b5cOpxU2mKTZgwv5IDo7U2FXBRcf6W1l8OU+DRklK1s17XA+a0yMxw71WaEIrBqDuWJTJpsmedQOFhT+SEuNBIblotYTjdQAin0vPgzlIG1fJleTrdt9nlFShmxDCjKAinlvw7CkqTDqKwXmEy9sjSeOG/EA8ceZCAkLSLsUYUBQwaMpqFFoOBRdOUj5g3xqIxjEHjAsAvNWNsalxMk0OaFWxt7sbW5m4seA2OAWPFDHF3s4oFs5S46krG3dMPlqmjOCFSQm3DQcnCLMxbG5hf99xZpbRjAztsYBsGNwbcEJqGEgUd+zHgAbvg7wMhTNygGXhXS14AbuHGtbuRI52n3iIknyc1pM5yn82ZcJLFNwkNYLw7KhgKAnzTSsB2l/YRL10ObfzaH+wIlejTLvlcSJQ+jHR9asieu1MzSAU25J5DLCyIwDDROkgIB+0HNhtT9nhCFFXwCi74umwDUEPerRycT/UBwJZjwHghpFm5MqNoQeIIDnIKGf/cDilYHDG5ODPGW6YYOIJTNs+AVqyfwMygxgWMN3AWVhhoikjhCAgRDy+gQWLBJOu7xEj0EhklfFeYrwGXBUIaBwRI2jIhzRzmsCEQ9vL1n3QzWz/M1KRJi0r97BNUc3w/rUXEusVjOJhhUpdn/dQ1IXzGoG4o9E0pAkxjYUWy4/d1pyRxGaOrLkXYyJN8vWV9nHY95goToniml8jF4wOE5nTKDgtEYRrK8zdZA56wSF34+vdqr+9vp2pjntjTT0mdhTZV9+yclpplPfa0u+5+ax/LrwpRDsyGP6dF5nCgIVc0cAO3TsTaPpF5rGFdhXfJtpO1a1L+IkyxR+a8S+BxctlQH1T2yMB35RhX8GyeJ+9npf2aT6+lY1+PE2qT57XZeT1Qcpokf61dWRtD/dQdm5A38JGuIvaNCp5TpqQruPDtSQ94NmdmnqOTMtWU6jmIskLiiAJ44JVXhtf/94ILYns5po31xOdOpuPa1ZHPJFl8nJNS87jzWeOrjMefCGqou5RUfz4GgjWQtEPPn1I7qsMtFfeMybSQyDJ0GX11+Hbnstl9UjhkZdUUvhvF2sxpkdlhTXVZf/M3f4OnPOUpOP7440FE+Iu/+IvkPTPj4osvxvHHH49NmzbhZ3/2Z/GP//iPSZqVlRX8zu/8Do466ihs2bIFv/zLv4zvfe97M7cluOLKXN+E4M4joFkFmhV/rQJmNf43I0azqq5wDwxW4H6vMAZ73dWsMAYrMY0ZFa5xejllBQcrkOQax0vy6/YO9gKNvwZ73L2+tMUDqaBZzuqBAC+oHexlLOxiLO60WLyDsXg7u//+WriTsbiTsXAXY2GXxfBulye3prBiObAIjDcDq4cxVo+wWLlvi5VjR7DHrGBw5F4sHbKCTUsjLAzHGDQtBk3rlSQWg6bFcNBiaTjGIYsruM/S3Th2013YtuU/8ZObb8NPbr4Np276d5y0eCsetPADPGDhP3DC8Ec4dngHjhrcha2DPdgyWMFSM8bQtGFTaS2hbQ1aazAaNxiNG6yMBlgZDbB3dRgueTYaN2B2JwaHgxabFkfYvLSKQzftxdbNe3HElj048tDdOGrrLhx5+C5svc8uLB61B3TUCtr7jrBy9Nj1+z4WK/exWD3CYnREi/HhLdqtY/BhY+DQEXBIC2wZw26yaDcxxlsYoy2M8RZgfAgwyq9Dy9f4EDfm403AeAlol5zbtXYRaIfxsgsqAL3cS7pNroyRrvtQYPVQYPUQVy6bdO5qRdkjz1+OPj4F1MZEiAg6KCQNnAJiyP6yoKEFGuutcHKBhyozbFxecOKPJtDABqUUsVMGhjW+1/2XtUj6JIZnHHigLGCGbmzGm4DRFsLqIQarh7prdEiD8SENxpsbjDcP3LWpQbtk0A7JXYvxGm8yGG82WD2UsPdwg5WthJWthNEh5L73ZsJ4k7L8WiTYoXGWKMMY9yRspj4WDVkfmN5bkAWctIfDWnUX0Kywvzwu0XhJ1rO2zPHfNsR9ke+lcauO0zNAEqzeZvchjUoredcdeMprDvcKOJhoEQAKZ3EUsopryoZhBvt/UZNdvnzTWBjtCrN0kbr60qkLOT72V63cdBwq46MEufnVyZKd5t+v71LaWw5GWEccVXR/tF54cV9xsKc3zcCCGgs5HOXyug1r+weuSMvRApZaH0tQmA8SkD7EyYObh4a8dXRjMWisomndZUxUqjA7etSqi216wR/KcYcdum0Ka4Jimfoq9YkMPK6xaIYWg2GLprG9cQxC3X6cxIVtflkfP3DqiytXiDUIJdkQSQemv/T3PdhgHWiR97znPXjYwx6Gww47DIcddhjOOuss/M//+T+LaV/ykpeAiHDVVVf1lnnNNdeAiDrX3r17Q5q77roLL3/5y7Ft2zZs2rQJj33sY/GVr3xltsbfy+Fgo0XyZSXPEjpfXbZJ73Xa2mWbeHHpMrH+pG7Knue4qW+fzp9JOYX26efCC7dLjHYzY7yZAw/tYr4qnkc8RoS+9EgdiR0f6+O1Sj9h0rFwbrrZ86AcY7+WrgErfjm7Bv5q2LeVg3cLeW4HhfIK30ba6fZX6UN9TGHgPEX4vri+suqrqlMLrbXVTTZ0+fcOZRKnB6JDeZxefdD3Pp94PTSh82bhZBDk3dazO8kIWKdAIe++Isj21GHm6K0itqsjSNffQsa+Ydghx4POWvbiy9WKpzBW+rv1rM1qmmyN5sPWmSNN1r5Cns46r63bPnyQe3MZ9Pet04f8N9Q0yhR06fzN+pTv3xmO1eV3FNcZDt4QPmQuF5kZ1lRpsnv3bjz84Q/Hu971ruL7t73tbbjyyivxrne9C1/5yldw7LHH4klPehLuuuuukOblL385PvGJT+BjH/sYvvCFL2DXrl34pV/6JbRtWyyzBskCB8LHzy0woCwx3DOJXdBNG+ODsPodyw1aVaWkALLFl+N1aROX6w2xE9oYS8GM/e8xq8DU6F6t649oNt2mLCfcfTwF8u1VQa6bkReoagF5ySiEIpISYXO7yGg3WdhNFuyVAoMtIww3jbGwMMbCcAxjbDiJF4oi52ZpaFoMmxabBiMcMlzF4cM9OGKwG/cd3OWuZifu2+zCfZoVHG5WcahZxRZaxRazgkUzwqIZY2Bax8SqE3SWNYPnrnZs0I4NxqsDjFYGGO311+oAI6880a69GsPO8mUwwtJghM3DVWxZWMUhi6s4ZNMKNm1excKWVTSbR8DmMXDIGNjcumtTCyw612RmoUXjXZTR0AILFrxoYYcWdpEd8ZZfi+6yixwVIotR6RGUJUphIkoRK7+H/Rcn31GV56+xV8IIwWhVkPlk7ZErY7zkFA7tkv8t5WyKip52s5sr2DxGs3mMwaYRBktjNEMbgqshMNvoIHEWRr4lb11SForkBItes1IeZxtX6lJNxpnctclgvGSCMmS82WC0pcFos8F4E6Fdcu63whWUVxQUCdwAVtXlmAzyv8mnERdc7kLjLqf41H2MOCLBDSNRcDKMd7FnWo74QcaE4/8aJERYgblKxs0rWDTxohUnNrvWG5ziePI1h3sHHEy0CADkCpP0PwBikLHh6mUA83f+Iu+qMFwZc1BUkGjha+nq61KhnH2ynCkR6FO2Z78sdfr6V6t/hvFZFzgQdQL7z0StAxNmRGDFqI+Lnvc9yr6pFHtAomAQ682gqEB0zSX3+h0DmYIBvVdNSQFVr/zOxzeP3Zf3obpuMpyT9lcIAESaSfVvIkzNnGcfYH/mXA0O4JpeD1rkJ37iJ3D55Zfj+uuvx/XXX48nPOEJeOpTn9oRvv/FX/wFvvzlL+P444+fqtzDDjsMt9xyS3ItLS2F9y960Yvwmc98Bh/60IfwjW98A2effTae+MQn4vvf//5M7b83w8FJixQeF6ZcQn7odZjzTNk1zd6ZKGCmKSMXdpbWrS5f+JRCulzgHpQWwr+IkkELWztC15gnh77+pH3TrpQr/TLqatgpMPx/UUQExUZQCHH8LwoGk11qjDh/ZzIFSCirsH8qpVDyDWQCaUWVpNd5dP/V+Olvld9LPZ3vqOd2TjtPUqjoAmo0aQaBZPCuwEWW6A6DqnSBx04bWrXYkf5VeOwwFloxURC4a2VJMsb5WBaGQY97ouQ06Mzp7sAgzKWiAiZTeiXzvG/+67Zkys9cIdLpQ97OGl1RYbeSvuVjV8A/nfFAd/zldzKPawqidYC5XGR2WFNx1TnnnINzzjmn+I6ZcdVVV+H1r389nv70pwMAPvCBD+CYY47BRz7yEbzkJS/BnXfeife973340Ic+hCc+8YkAgA9/+MM44YQT8NnPfhY///M/P3Vb2gXAmHiiPPj3S5Qf0jg3eaLSIyI56AWjAjMn0Fkg1EXsJYLEx1wBQQVPjgkpaV/WFnlFeeLKwvTPuYFzY9QgBnX3ChuAvJmh9ycJCovZGt8v4xQucgJ/vBkYb3bCfF5wCgCz0GK40GIwaLEw9JYkQYHh3AkxE1rZOIjRGMaCV0hsGa7i8MU9OHrxLtxv8XZsW/gh7j/4TwDAMc1eHG4GWKRFjLjFLh7D8h7sbhawuV3FZrOKBdNiwbSJ24HArApTGRhQJ3CnIHQH0DDaAWM8bDFeMBgOWywMx2iIsWCiy7CBcW7ALBNW2wZ7lwZYaQdYHQ8wtgatpU48lcbYpF2tNRi3BuNRAzs24NY4F1DeeiL53mE+UDJ35VReMkeYUp+Wat7qMkuEjjyL6yX60KQ2WiUEqymx3GidAHzVW8C0m91piIT/JTe+vGBhFlssbBphy9IqNg1HGJoWFoS9oyF2ryxg754FtCtwMUpa3+ewuXAcB03UsLMuoTHBrFJU+rUxHfmTUB2VsV8f8lwE/4mytYUr27u0S2L8aMJErz3dPtkU9T27Z8a7ZnPrjIOC07SAHZMPPJ+V6YeCxhyteLyiNPaJYEZu3ZqGvGsw5yrONm6ulRQX7JoS2+77SVAEiWIg9Lzhxs+ZBl3fqohlAUC7pqr7MgScPyHNHO4dcDDRIgAgSg1ZR86iA6DCAQLfSt9Wyu4n15Pchj4XiIHwDl0haoFRXDd3WLMUmw6HezSN4mTWpk8c530st1J239h23Gbta71TwNQxMw4kHyUCOwbM0EZFggQkYwKUgrAX1DjGva70geLmJgd8RNkoViYxiDsl/0MRTN6yRFlUVNqi+9lpSj75OuUoHiJXzCraU5Q7wQWt/52MhWpbxzUYUn6l1OdyH6aYvCW6d1+gJtCpVbY/StgpYT1okac85SnJ/SWXXIL3vOc9+NKXvoSHPOQhAIDvf//7eOlLX4pPfepT+MVf/MXp2kqEY489tvhuz549+PM//3P85V/+JX7mZ34GAHDxxRfjL/7iL/Ce97wHb33rW2frxL0UDjZapCSQS+Qetbmn85X2v5pgsUB6TL3MhOfbRyjVnwjjM2EwvJLACXsplfnotmS8MhukB2dRHqugvNDKEkUXdhQOyPLq54LXpa8ML8uR/RCQuL6JNWYyFpz0IXvlX6g25O1KMsh4c+DFmT3fSjKeiC7QpPi87yVZlv9Nvj1sOMg5tDUkcYFGnkA0h+pEpiBtmXYPEr6byQeH9/y3H08nf/CDZ2LMmKQIPQaiqGo4KhFEFtM62QZJnBir8jcx3azQcRmm//s+hvFPH7vxy9aD/O6sBSm6NLaVdZ6s4az85Fn4DkCOizjrS2hD33fN+hTCIZTKVWNQxW2yJqDGLG+nydKvM8zlIrPDhsU0uemmm3Drrbfi7LPPDs8WFxfxuMc9Dl/84hfxkpe8BDfccANGo1GS5vjjj8dpp52GL37xi0XiYGVlBSsrK+F+586d7odM4ExJEvCiUZOBHCOQaNQoroM4yQmsWIbOCQO/MRQ1mxVCQRZuiZBIheAVganqa1zc1EUoFQj1qoDRLBtc2AShNLk+aPyCuC5yliW85JQlzUIblAwLTYsmY1xba2CY0WrGi4CGnDuDYdNi82CEQwd7sXWwB4c3d+MwsweHGhfTZIsx2ERDNGRgQFhBiyFZNLBYoLG3MHEfNliauOGLVgmi7bdwCpOxAVoEM0qWOdKQDwBvE2ZQrFgkdkpgnIkxMBZD06Jl5w7MesVIcewZaNmgMQaGGG1j0AalSe5mQT6yLiB+xODGQSlPoBnz/F0OhU0vzj8OGzS1Lh6HGQN27Nw8sZ83YD8nDgHGhzLs5hYYWkjMEanHDJxriKXFEbYsruKQBedSzRBj7MdqZezMWLglkI+9I/nZ+JXJ1LWOYHJWU1phIn5H5bv6zZXJ/882qkThKfmEoWjcxV5BlOCQEoGuxz8nnvXQK7zEjYu7A44xS4gcMSxu0YQQ1H0jC9CYE1wR+tu4HxZwwlrvE1UIAbK+7sLY6P+h7QEvdQkiNxfYpyV34l1tvAl+JAAjrD9MIpAwxfs53CtgvWgRoE6PlKxL6goTRPqFON3vCfuovOgSF8G9UIa0WOMqlXUjYorsk8stzbiUnk8Ls6z/fIz2ESbGtZhDHfS81Mw0I1WYTDGMuVIhqcYTybmyRNxyyaEfY2xMr/NCaLP4PwiwEolDuX+9fdD7GsVL3OxphUlsU2xbriwJCqniILkXadyVPEk2d2trcxLkAoVZIR+vzvjlTNQGwgy0SOBnPSwuLmJxcbE3a9u2+O///b9j9+7dOOusswAA1lqce+65eNWrXhWUKNPArl27sG3bNrRti0c84hF4y1vegkc+8pEAgPF4jLZtE8sTANi0aRO+8IUvTF3HjzMcCFoE6JdFAF2aPlkjubyhIPQs8kLqead8vRxrAs8+HFhqa86XZH0IbZT9Q9WlUVv4nfcvf9YgiTOq38e6hH/1fJLeu5L2VfBTbU8jBnnsy8YrTjyfzHD3LOnU3tNR3EjxXnYQ0gKpcgfo0ECcjaUrz0vMMhlWkbah1FqloyRiShUnsmfrNqqxSeZlDd9m/Cv1bbo1Uj2XyVgfb8TGl2aMoKQLbt06BSEeKh2w/36+vDF5/t8f1LRR9rGvZGKST/hzkYWU1j9nJEuNXpmwTmryzmQ+ZdNff9dO22XOKtoqP2dUHCKdrpRI2pk3qVSYSlT7Hno+MuI4VnHiRsBcLjIzbJjS5NZbbwUAHHPMMcnzY445Bt/+9rdDmoWFBRxxxBGdNJI/h8suuwxvetObOs+p9UrazLWUCEgdY4UYzNkinCwI70VekSyuVPCcCCf1AjDxeXJSIVuoxT1QBKKSvsf1V6gbQLBwEaamhgClbhE4+3zs3XYF91369LyJ7nXaJYl9YcGHjtEo11sLTRt8OsfuePdYnjmzcPdySmJoWiwMWmweruLwhb04cnEX7ruwC0cPd+K+g7twn+ZubPYfcRGiMDEYoUXLjBbGXeyUFJZNqMNa4y1NDOzYOFdPYrnQkrMW8D4pQX4zIwS/8KaxMEb5qZYg87IZ+vsBWiyYMca2gR1SEP5b33fAB+xWz8bWBOVKaw1G/j8zgoVKh8GNn6/7SQPFp/Ood3JfIVxI78CSxlIkerxLCWopWH+4kw+OyOKBcyGGzS3M0hiLi2Pv0zvGl5HvvTgc49CFFRw2XMHmwQoaYqy0A+wcLcEyYWV1iHbPAM3OAQZ3R4sO50osxixxli8ULElyF1yuY0g3M5WODRCCo2fMgNyLzitZt8rFV0eZyUhwRJUhyJkDAGicrosIztJE3Glp81+rFSgc45uMrE/LCRHAjXdf1jjcFRQs7BTF1hOdghPFCi1XmMIA3CIxV4f1eQwpgouj+a3hgEN1XxMCaCMsTTJCqpZmPeH222/H7/7u7+J//I//AQD45V/+ZVx99dU4/PDDq3l+4zd+Ax/4wAeSZ49+9KPxpS99Kdy/5CUvwWc/+1n8+7//Ow455BA89rGPxRVXXIFTTjklpNm+fXvYZwVe85rX4PLLL1+Dnt2zYL1oEaBOjwDOnRCpfRFAJzaCdp1TEvrKCXG9nkoM6EwW1dnE10qURIGSlblmwn1fR3IqXirnQvk1Zg1Akdap5etLqr7JxPKm7X7fvhtu9M97GbeyFkxhaUj8/i7uPMN45oxwzzxxOn4fajasP/nNcX76rMbYcCDIGEZjbIiZ17YmJz1gW4N25GlQOQyjJYuZ4ie2sTw3kv4peiWsIe+qL6b1tGewxpF+U3mNqXFIFLj6vYnjFB9qxBTpTU2bpgqayqQofavaty/97ls7uj8at9qMMFknmIUWOeGEE5Lnb3zjG3HxxRcX83zjG9/AWWedhb179+KQQw7BJz7xCTz4wQ8GAFxxxRUYDAb43d/93anbecopp+Caa67BQx/6UOzcuRPveMc78NM//dP4+te/jpNOOgmHHnoozjrrLLzlLW/BqaeeimOOOQYf/ehH8eUvfxknnXTS1PX8OMOBoEWSk8M5r2K6qEnSTbNUJwpMK7IIjcdkGVaVJZO2RS0DKeLU9D4cVhOXVoToBaS3L9x5Zykbz0LbgoymYHEQyqWs7R1cHNPF58oqxh+AE88qYnWilSdBWSL8l//wJBYN2oohH4uStD5XmEibG1b7jBQyBW3T+VYc+XiRwwGxP6pKVwXF78DovE/qkLIo/g4KmTxxhf7Uhw1leOQg7ngzwy5khxlLDfLWTmThXDB4KxViAF5hQjby8VBTQAT8JX66ZC2QjJWOK1rbAlX3iwqPWh7JRypfjRbT30mTPqoMUNrnPH2SN6fzEvq6gB9ykLIoTL94eFSnK+CHPsUwuJIfKFoirRccDHKRexpsmNJEgDK7b2buPMuhL82FF16ICy64INzv3LkTJ5xwgkMuUB8824TI+gWgNmiHLymmB4L1CSsklWjnNBKk7n9JIrg44Y8ZYfMoIaGqsiRLGzSWsml6JQi1KC++BLkII0jBwkIUJKIkCUoTFRi73eIUJoNNIywujrE4dO6qGu+ySpgksbTQbrk0GIqxTJaaMZaaETY1I2xuVrDFrGCJVtGoY+ojWKywO5o+You9zNjLA+y1Q+zlIVZ4iDEb7x7Lu8ZiBHdXPPaWJd7FkmxEgNo4vM9NCaI7aGywhDHEMHAuuUCA9VG/ohLFvTeGg5JExkH+y+UsKxgNWbTGoAmKEgoKEz1mUsYkeqPkHiJXwOTvcwEYy2+Ogj2JHcLWUYe2jconMIABA0MGLbQYLDhF2HDQoqE02GhjLBabMZaaMRaMc3s2sg32tkPsXF3EXXsXsbJnCNzdoNlDMCt+vTbwLm0orAfyLrJIArtrZQnQ3czyjVU2RKvWrKQ1ES8k4NeDVqoG4qVGUE16rukxRfSQnwNGU0fwVnG6YeK6K5inyg5PQSFIluMJFVG+tE55aeDnq5j4KmUS+fXDBvF9WCsRvwVcaJz4KSG2M+JJ929DZIPT1LPO7Xj2s5+N733ve7j22msBAC9+8Ytx7rnn4pOf/GRvvic/+cl4//vfH+4XFhaS92eccQae85zn4P73vz/+8z//ExdffDHOPvts3HTTTWiaSA2/+c1vxnnnnRfuDznkkLXo1j0W1poWAXroEYUARIGdNkbRGRTTFRUTGR7vtlH/XiPqe0Kd+1tuAkE47YXYiPREnr6zh+3jGt6vflUYtORdAWrKkuRZcXymbtnGw3q3bQJDnzySg0u28H0ThpzDoxgPyFuWqPfizoqIHV0jShNf2Mj6AO9KWOMO7pB3vUpJ3LWw1rWwSTdQWJEa15rjCUJX8QiFDxhIlRc1zt8lEEsS8m3R+CgR3sH1odNOP37MFE+yKrrLHcapLJ7S3O+MEbqJeuZft33xeRIXZr1hBlrku9/9Lg477LDwuM/K5OSTT8aNN96IO+64A3/+53+O5z3vefj85z+PPXv24B3veAe++tWvTtzfNDzmMY/BYx7zmHD/0z/90zj99NNx9dVX453vfCcA4EMf+hBe8IIX4H73ux+apsHpp5+OZz/72fjqV786dT1z2FhapLrXAGUBOXqXVbmM7FkRSjxRnl7wY7Gicrqcj+tVnPh8idzGPw8WG0le7pSXWIwISmU4XiunVwhZXJAyImD9roBrY9tDjpjIIV2nIDHO0iNQUsReK6Xa7LMHRYm4farRNaH+Aj7V/aIsT9iHcgYQhY+E+vzIsughSIXivg09h01z/rvTBDU+UYmSzT/VptLnbJec5YhWXESZHaVDYNX3EQWWBJrXIQPE9Zo0Tw43667k3h1K/db9mAZqaWUMJuCRpKhSmwhdF1t6fH0bOkrdUnuyOnK8lH7bvHFJMTF/Hy7RdfT1V/pZwg1ybQQdIm05wHKRexpsmNJE/KLeeuutOO6448Lz2267LZyyOPbYY7G6uorbb789OVVx22234bGPfWyx3Jq5Mof4AP5eI1PRCLNLo60OO656wi6oEFaQPquJnyMMqOeS1iO9gDyzGCnFEyCFdKEteb/UplFUsCgFTQhoH8pxmSVmCcgrSZa8K64FuCDkmyywpcXC5lUseuuShqLlRWsNxgxvQeEsPVq/CRDFQJni0qAhi4XBGIuDsXPLNXRuubY2e7BEIxgwRtzgTuvKv5stGozQgrCbh7jLbsZ/jA/DreOt+P7KEfjB3kPxw71bcNfKEvasDjEaNzFeyKoBrRLMyMCsIgrcGc6CZoFdAC8DkGE0A6coGXjFiViYiBXLmI1TkPhBNwoLBuVJQcVv2WAcrGIosUYB0FG25AqX/YX8FK3J/ks97PsoljASp2XcutOU1jqBACtTjGZgMRy0GHiLIwNWQsBI+K20A9yxQrhjZQkj22DXyiLu3rOA1d0LwK4Bmj2EZq93scWI1g7s4/D4dZn4ZCQExVdxQ5Y1pRh4nZekjIRwzp5lZeoNPlVyorNmpwIZKz+kluBcosErN/ya1cqc3pMAiU9eAsYcdTIM527MwsUgaTi44AuWJX4MgnWJWJpYJFYnIdifr4YbUgEF1Rhqopp97J6ai6I1hAN9ouKf/umfcO211+JLX/oSHv3oRwMA/viP/xhnnXUWvvnNb+Lkk0+u5l1cXKz6FQec8kVg+/bteOtb34qHP/zhuPnmm/HABz4wvDv00EN7y/lxgfWiRYAeeoQl8LMJ9wCikNOztbm7LlsI+JMrvwVKwtWy0kW545kE06TrSzNpuwoCAU+b+Hs3DowQb0HwbNhL/PiBQyyLkrugWaAmVO1No2C6eA7xm/e1o1eJM4HR74Op4r9MVZCUp58dAO6qtjH7d27NUYx3AqRzzu9HprEwDUe6xUTXWwDCwR8Njr5tXEy6cYN2bOJcFNeoTMFCV5+OlXYwsYv75ffEsA6S+Ee+O7X5JDSWyp9bFneCxuuBqJQqlQahW05TyT7ux1K7LkuA2dEUvn5iTwuyVoZmc74kyMiaNkmZNC0kLns3YArPQoscdthhidKkDxYWFvCTP/mTAIAzzzwTX/nKV/COd7wDp556Km677Tbc//73D2nbtsUrXvEKXHXVVbj55punKt8Yg0c96lH41re+FZ498IEPxOc//3ns3r0bO3fuxHHHHYdnPetZOPHEE6cq88cdDgQtkkNJyZEICLkfzcaC0BUG5nKKKQR0wofF0+XU4cvC/4KipHtYS6VJOpC1TR9sIbgDgaW8oY64f4AQgqdLBrLcjV3l0+U8ZSLPMc7LhVaOTLL6C+3WSnEj+41vQ74PSRESJ0MOkOqihXfzHjiCZUo+ZrWxLNEJxUnAqQWi3itlHyWofYHj3OoWFcbC9TOmIClLipiwxyQV+Cq1/C8epqaoLPNzgw1gF9z/EP/UvxeemFT5bt5ne6D/T9riBJHnDkllqvpP3XFb3gc52VoZEyk/H3Cpu+PZJqcXghyiUnYuM1HrmCu/Qxt8eip8075v3MEpqm1av6jzdCvOnmftq+HOgj42fOu8LesFB1ouck+EDXCM4uDEE0/Esccei8985jPh2erqKj7/+c+Hjf+MM87AcDhM0txyyy34h3/4h17ioAR2ANhFL+wfwgnDtVsZg2Sj7Zv0YTNWcT2YKAgX80UsE1ErSShHCAXIzerigqYgvOy2RbVJLqH/1aXbBr+RhBPnY3aBrds0qDc8InRjyWiXLLBk0fgg78NBG07ZtZYw8oL11bbBymiAldUhVkYDjMcNxq1nLltxQRVddEl8kIFpMSR3CYzQYDcvYKddxE67iB+1m3Brewi+Pz4M/z4+HN8fHYFbx1tx2+phuGO0GTtHS9g9WsDe8cC5SlAn/ILZ6RgumLfuq9pkwsakvpUQI2PfxzG7fspvC0oUIQCS2CoDsiEGivG/XZ/dtdC0WGhaLHnl0b5chwxXp7oOXVhxrrEWVnD44t7w//AFfy3uxX2W9mDr4l5sXdiLwxb3YsvCCg5ZXMHmhRE2L6xiaXGExYUxhsMWg4UxmmGLwdApSxrjYsCMWz8Xxu6S33evDrFzzxJ+uOsQ3HrnYfjB7Yfhjh9tweqPNsHcMcRgt0GzV5kHC4Eg8ziYGqt1EnyFphdygX2ywLJ1KZuWioMkQeRN4aLClTxX6752oXSpORgXbva/BgFHULg4XJp5icoU6asJrs04nGTp4DIUcJv6HjnOSwQRAdf6QHeeAE9Mg9cLamNdGPudO3cml/YLva9w3XXXYevWrUFhAriTnFu3bsUXv/jF3ryf+9zncPTRR+NBD3oQzjvvPNx2223VtLt378b73/9+nHjiiR3XHldccQWOPPJIPOIRj8All1yC1dXV/evUPRQ2mhYBAG6NDwJtlEAVXbcFADSTPJk5jps8W+NjcGWuHPO0xQIrlyqjKsjP6ageXCUHJvKrlF5cHxkJ6q3on4lWGlNCsQ2qjuRKToh2r2CdkJeVVFh4pvF+/t1n7FttfJN2Zf0stqlTMFQ/Eawx0s1scv37cvW3q7SpOkhi2AXpDcK3dJbEzpq4GVhPu3BHYVIK6D4aN9i7OsTK6gCrqwOMVxvYkQG3BjwywNj955EBRs66mcTSxF9p1zhpV2mMw7u4tQdraImPFF3b7YfCpMCnTOXGK3sWvl++XlUT9DzP8xTxiUpXXYulNtT6GPokOHk/kMm0MAMtsl/VMGNlZQXnnnsu/v7v/x433nhjuI4//ni86lWvwqc+9amZyrvxxhsT4b7Ali1bcNxxx+H222/Hpz71KTz1qU/d/w78GMCBoEUSmGYPmLRX6PvKHJ7EBxX5In0IDUjxpU8Y5CJKFtJppxywKKGBgFtyhFendYoKk3xvlcNiomQwABoOz9l7s5CLGwYGDBpYdzUWZqAv9pe7F/fh4RIhvFE413C6R/u0Idg9+X5aCjFMOt9T3bOmf4zqS+OURezLlvaQKbRBrqz/YX/z9IUooFiPYz7mpnBl3yTkFxQvfKe0IZ/Xqj2h/sb3zV8lOYOk4SHDDhl2ISpMOpYTjMgzK3fiWt6gDw2ItQlxnYSXd/k3mxV6FSbT5OvL76+MTEsVJroMUv0N3w7pd+5pT2msEvyS45u8TeGmp77ac1VegTTtyGQ7bViD/X8q2CBa5N4Ea2ppsmvXLvzrv/5ruL/ppptw44034j73uQ/uf//74+UvfzkuvfRSnHTSSTjppJNw6aWXYvPmzXj2s58NANi6dSte+MIX4hWveAWOPPJI3Oc+98ErX/lKPPShD8UTn/jEmdpilxjjoUJKCjmxvzd6ggrSUaela8CIC0CYCSck5MSskbIFEJTloez0xCexQ8DlI2WCQWli+9wCZPUbngCRtrIvh0M8BFiGsX4QyASLE+uDvif9t8C4bbB31RUjJ8hEEWJbCsIhVgG8TeM2+2ZgYQ1h0Fi0xro8vn+WDUbcYMUOcQc24y7rggyuspuqK3aIvTzA3e0iVuwAu9pF7B4vYudoCXesLGHXyiJ2ryxgdXWAdrVxTOyYQCMDGhHMqrdgGDkFURII3Lh4LuxdTtnWYNw2WBk564uRNWjI+a9ujFN6iMuugXFWFQO5h4WhqDDRFieWDSy7e+m3KJ9EqdL4ydMyqTyUWKHkYKbAbrp8sYQxxGgQrWIsG7QgjG2DERus2gFW2wH2tgOs2gYr4wFGtsHquMGoaRK//ACiYsy7q0hPfPrvsWri6ZYxMAj+OhE3UFLfpkDI5QcTO5BvQlI2VB1Fgrz4s1NZsvnmZWblFtcrqfIDgZ+WkxBU4nIrbw4BJNYhgIsvAiEyXCXc+P+GIhHi3/URA0EpKwpniv97QY+9Jnyyk/SOKJ1Q1hrBJMJPYBY/4tPCrbfeiqOPPrrz/Oijj+71S33OOefgV3/1V7Ft2zbcdNNNuOiii/CEJzwBN9xwQ3KK8N3vfjde/epXY/fu3TjllFPwmc98JnHj9bKXvQynn346jjjiCPzd3/0dLrzwQtx00034kz/5k/3q18EKBxMtAgBYNeBB45k1JAwgkxN8AigK+apWIYliJD4mUJjsOkaKLEjx7JecRvfkwEQ3YDljU2xX5TkBDOoKMQOJ4OIfpdYLrv0NMSRGV3BvJviwxmjMyDgWXQ9VBMICXesSkTBoDilLok46pi+Q4OPglqzEJGdCmprFRycORWVMpnIxvo+MeK/iw8+7fign6Coz1JxOLExcJU6Y45UlWaB4cRNrVMyhNliFuXLlvm2Nu8aKxvX/tbtSqkk39J7reY4oXMrSlqDyfW2wmIh8STJWSXEVgie5nZ5bLs0NrWhJvk1WdXCrRzFf6JekNYXmTGheWXGsKtb3GywYmJYWmRZe97rX4ZxzzsEJJ5yAu+66Cx/72Mfwuc99Dtdeey2OPPJIHHnkkUn64XCIY489NrFwfe5zn4v73e9+uOyyywAAb3rTm/CYxzwGJ510Enbu3Il3vvOduPHGG/EHf/AHIc+nPvUpMDNOPvlk/Ou//ite9apX4eSTT8bzn//8te3gPRgOOlpkAoRDaH7NaT4pgND0ilcrlpNn65n3+hCrFsKK+6va+/C/TypZrFC/EqsEhRcU7iEv9AmkEqXleOIm8q2+Pc69ucbXUIcvhEZL9/LwrJfGSpXi0aKFYtulkV6i7mKcRBdcCLFLKDk0Kn0GEBQ8QVitlBgdy8JeZrn8OBkYedHpuuJ7c5rX9zPOUUUvyTPSVixR+ZAI8nzWRImW9SvuW932lPh8Yn8QMViZpN+DVEItewScbCrK63yWwhH3uCY4dNkpwhDyxsTofIeSUqEXOEvTWQfZfQU3AFnbOi9V3/J2cuV3ng5ZW1Vb0jmg7vNyamuwNE7U0ydK/hXLqqGv9Ya1pkXu7bCmSpPrr78ej3/848O9+NN83vOeh2uuuQavfvWrsWfPHpx//vm4/fbb8ehHPxqf/vSnceihh4Y8y8vLGAwGeOYzn4k9e/bg537u53DNNdckvtmngaCV7LyIOIYUQsrzBigtJCh868thIEQBI0kwoYxC04rMVkJA9C1maYuUETYVjsxp8FnGoS7OOWY/Lqb1lhhjwKwS2Bi/1w4wYkI7MB0BgjCqgZFUrrksE8h632h+5hljMDaNt1AZYKUZ4O52IbjlAoARN7i7dQLAu+0C9rRD7GkXsLcdYq8X5u8eLWDPaIi9q0OMRgO0owY8NsDIC+fHBDOiEDRcLEyCkF6CWlsArY/d0RLasesjM9AY4wOAGjRkMfYBQIemhWXCwFjAAgNjYT0RIIoJUVJYEBpqE2WIKCtyRYaABLcHnJKlLUyiZgrMFxUzFkOvyDFeIGWUA0wLg5bJKVKkXiYMvFuxeILPCRuinIjQWidcaMf+VHXr3Xf58ZTvoAPId/ynEpxis7bh1jZTFNZy4VmnuD5mvPJbr/H85EKSrkYzVnBMojCR/8r6Iy+fCSDyvmoNIKbsECu4xBpOK0wQ8ElI45Uj1rvWsnKKJrNqS/Jnp3iSPgVEq35nIPhqvcGNX39F8n4WP+IXX3xxNfC3wFe+8hVXfkGyNMkv9bOe9azw+7TTTsOZZ56Jbdu24a/+6q/w9Kc/Pbx7znOegyc96Um45ZZb8Pa3vx3PfOYz8bd/+7dYWnJK5x07doS0D3vYw3DEEUfgV37lV4L1yb0NDiZaBIBjVlu3NpkRYgbJyQ1mcdCVQs26gzwBE91Updya4OeQVpUVp5sIAaLiJIkfUqp/GmJ+AoOcCEVLwARrASNCmwlC9z7lwjTQF6cheZ83M2x8GSMfbgppe96VlEnVYPD6cyvcWvruadr6WM4c12VWvF0rPm9vX5WqjTI2HaG8lWeyMQFySIgMo2lsDGIOoGnc4ZfFwbgj/GcGRrYJ39XaGG8uCtZcvVS1IvFlFfZ8EkKiSM9nh6oKaTibe7k7mOSbVtdlj2RjShDXq4LHdNy8qsJEg/AnAJIYI9KHPhqtVl4xvSqLsbHSCWnBDLTItPCDH/wA5557Lm655RZs3boVD3vYw3DttdfiSU960tRlfOc734ExkWm+44478OIXvxi33nortm7dikc+8pH4m7/5G/zUT/1USHPnnXfiwgsvxPe+9z3c5z73wTOe8QxccsklGA6HM7X/3gwHHS3SA1pQWeR95H3Gh/SWo/Iz9chb9GEsUmWUFCa5HCSXWidt13tGqbFZmzLZTTxU4nGb7kh4h66bYc4GMuGB0sMxuVI3P1wSu6B6EPC923NkTwpxWDjNQ1KQiluS85pJ2dq7Q2g/PH2JlLfrQOxzVQGk8XvseJ3nz/KGoPYQF5KI30Ty5EI79goUTy/mwvLioYa8DclnlhZQyK7bFyxHlKWI7EHhnhDjpzKSWCRhzkuZWZdiMwoLK4ectklZhv2D/LvV1lMFSkqnaeSdeX5dhv4Wnax5W6nQhhppoNcLT0hbXoppOXkbN5AkWQ9a5N4OxB2J+T0bdu7cia1bt+LEN18Cs7gpNXuzcAqAcXRDZUbumWhyOxsFKht5eImofAluebiKhKrCUl8WkG1gqk4O3HAXccbNL1q7lDbEIHxtAdNyEMgK4rANwQ4J4yXCeBO5oO9LLvi7XQDaRWeCyIvWBf5u8t3WbcrcKibSN5DFPLRxZqbNwGI4HGNpYYxDFldw6HAFhy/uwaGDvdjUjDCkFhYGK+0Au0RpMl7E3eMh7h4PsdIOsDoeYNXH2FiV+CUjAx41wIhcwHdRmqx6C5NV/919PBPbAOyD3LdL7AJ3LVpg0ZnKigsH8m4bnOLEMd9D43xgD5vW/TYWC8a52lowYywY9zyPb2KVRk+ea0UG4BQhUbkSFSct4jOXvzvZ8tgnoUwwBqYNihJnZdJV0oy48RY/A6zaAfa0Q6ekGg9w93joLU0GIc6J9UHs9SlMOzKAV5yI4kq7R6OMOEg2O7+mOsTFpI0U6KyjUI5eo8p9Vp5P07id8rJ0VPmtYRJBUiReVNvFwiR1o8Ve6RTXcBwnH5uoIaX0oDJe8+PpFCakFCfuPxNi3BJCqiQRJidzUZhYp/g4KWi6ARTlhBPv2YubX/963HnnnVP7754WZD848xlvxWC41Jt2PNqL6//8DTO144c//CF++MMf9qbZvn07PvKRj+CCCy7AHXfckbw7/PDDsby8PNPJzJNOOgkvetGL8JrXvKb4fnV1FUcccQT+5E/+BL/2a79WTPP9738fP/ETP5HEWJnD2oPMvxOufAvMpqXAdMrpSXGXENwwNDE+GANpLAYPuaA0f6YF5zVI8gUBp6t0osASqNIuyfsJ+ap+ugnK1VW33VpZkbS51pYalOpVgo1plCVBeI6sDZ1MPeXIe/LWuNpXdaUvpQDcibIk6xv19KcPOtYcpXezFpvvA5V2VXlwPydZzVuWmCNq/iZxKgxAjUUzbEOsOueKy4bYekRAYzRRghDLTaxnx4mbPR9ziCk5FIK2MA/0XCcElyw0cOtfu1VJYIaxLVqX9GYoPayNOiACMDkpXVPWpW2KOKaX08zXEJfm1xRrPGlDASlpdkXNH2m73bMX3/3tN94jaZE5zKEPZP498HWXovGHaXJhZ6Dn9YFT4aGg0pb4pppso5RWp4nbaZe/0woTZO/zenR7c6FmD/TKajTPI/UXYpIEYbtYYyjcKPkCflSupsKBFrGIzGQ/1X6G/rlDAkHWwoheRWp9k/HJDyzqeqV/nm9z7qkQ47Zk+D9pJ0klZVqkBsX9Kt/P2FeS8Mn6EENaBmXp4ri5+46wPd+niw3N8of5JpuIjC9iHBI1tlrOEdybDT3zLu6txznhO2GeSptVWpF31KA03BNJRBmeKdfWNPlLCo+qnKdQZ2+bS/hG6ulZX0X5qpQnY1tpdyl/RwmXrblEeef/tyt78a+Xv25OixxksGGB4DcaaIWgz2AkAtOx+j92yoMQbCxTmqQbuMe7lN4LgpSYINSWNyydT+6T+vRizJFs4X9aeETcSRka2SpkGjThIa3jHEIMkwEFtzk0Bpq9TsnUrLi4KXZgwAPv33GQETZ+n+z4yfTCIh4w2gHDDi3Ggwaj0QArowH2LAxx12gRi41TNgDAmA1WxgPcPXJKkz3ej/RoZQAee1dPwVd0rNOIu6cxxTgTSlmm/UYSI57S8EJ9kHe90BiMG46ngr2gyzSMZtCiaSwWhmMsNAZ2SADGGKhYJkPTYkAthj5mC9C1ChHlxZBaNGSDRUhDFm1iYeIVE4jWHwK2EJ6oZUrq0koSUeRIPS698e6/XIB7+XYt+8D31mDVNmjZuS0TYYIIFNqxgR0b2HHjvsuYnNJKWZiEsYf7H4XrcY4oPVt19+qcJtAPC0RzICJKxIdaJ8naU/e1Tb5DcFagb2Mv8flBUaLbFnyjRsJOlCGyXrkh2MatYU6UJoU+qwYIs2S1f+AmPk+UIhr/JWbc/neDGK9EMxEyDuEEjsM/dm+NOl07CLFXJqSZFY466igcddRRE9OdddZZuPPOO/F3f/d34aTml7/8Zdx5550z+aX+0Y9+hO9+97tFv+IaxJ95Db72ta8BwMRy5rBGUGJQ/NowA4tmaNE0NrgHCsoMZYkS8ilkEk5HcfedgBYu588mKkz+/+29e5gVxbX3/63ec4EojBoEhoiAKBcBPfEGaBKj50gkATUaH2POSyCeoEk0Kl5BJICKiIkzGG+J18jRHHjfE/FnfjEaPUaTvEhADxpUBBQQ4isafYXxxszs3fX+0VXVq6qr9wXmsvdmfZ5nM+zu6rp0965atVatVWlYxXiEkbT+jso1emKvDkoIE9c6Lt9WxrrhxtzNpaOi09tg3R9Jqu6br3sn8Sl7RdC2peRn5+MmjO5ZpDyJBCi9b0X+fKgvSnxz6cbdqXN/anzLV4TTPt/7lC9vivXummz9nkfmKVPjCFXAO/c+oVTR8gMZvLVhpK42Zy0U+XhXPYJAor42axZ/UPlKSiBU+wVFhoMQkZwURnIigqgIpVgC+R1BVQmAUTqJACpcWBiHayEyhn8fEievFBL74jj30conr9xCEujfna8fK8G4mYavncbjJJE4T5Ut5a6w62vJdrQ/tevd2XSWLMIwReGZ31gLoAInHZDonxJ50f8LJMM90WSu4lBdY+Y6+nQQnRD6GjU/TOv/rPkimaulGlnS+lWtp9C6GafdRr+j66Mqp0MPyyCSYxAItYG6U1Ao4vmTGavUJu36BhWx0i6eG4rYe8Sdp/pkE1olmexr9BDqVfTqMsx9tB+GMTyI6B6YyAeI/m+M7upSS7aDtPtfR5azG2A/yNhPm8p3pO2+sQ8y+W7Q98xtmIRtCFHzV+Hce8sQRbLSvy+6BUBYKyFrogRBe3Q800r2MHbyMM0nefpeFfO7dptN6+JpJi0jmalzje93nI+0epL6JHQMefDqceD5zXvKT7SBJhP+onfbUETLpr9NT/5S9zedrxKJymRZpGSq1miiFeWW4lGHZTJ7BJAfAvnRuvsoWApDmkb9lYjykwBkjnQEcDo1VY7py6lCUyDeb4UIHAlDifDUh1aXdNqWwlefI9b2+HxUMSnISvMa2Btq6/sTRv8N2hGFXsoAMiuMktTglo1ImEAGZvCBjFYHZlWaMBRoy2VQpzbkBID2MEB7NtpYHgDaW2sQtmWA1gCiLTDGESOkqfZZlnbn2bsdnzWAqLTQ+0JIRIYYIaP6BxKQMtqTRAQQgYy8LDKhmeAFQoXZUh9tMNEb3MdeH8S4og0mIkSGVLBW5IhnSWAMG7GBA8ghQICcShP3tgHpeGmZPoMJJZQCWZlBNow/bWG0n0k2DNCey6BdGUzas5nYYNIeKENWYHuWKENikFX3Wf21Bl36OzQCpTqZb4Az/0QPy2tooYOdb9DT74sWihyB0l1loEkbtNPq2mEI5SSufkuRgJU0eJrfsLsHiYz7Cl1XCcTGEk8YLsARbGg/RoVNAHpiE0+OlEirV9Iog4nuo6V+HzqTYgSe3RWIimDkyJE49dRTMX36dPzyl78EAJx//vmYNGmSFVd8xIgRWLhwIb75zW/i448/xrx583DWWWehsbERW7ZswTXXXIM+ffrgm9/8JgBg06ZNWLZsGSZMmIADDzwQb7/9NhYtWoSePXvi61//OoBoE/qVK1fipJNOQkNDA1avXo0ZM2bgtNNOw8EHH9x5jWZihIzDN5iJZfQ70XstBEFo9ghLVRgm8tV/8r+86WFx0mYYecrzTWJ9Myg3W89kwN0I2j2XCDVFs5PCGFGkjNohQx1CQ8kBabNC4eSjOsUokqn/fsRxsZFuMPG1uVAFzPc4LJF3fxe3HuaAMKGRIKRZOS9IP03fpzQjSL5ybK+YUt4Xu7I+Lynfu+4rL69hTwvm+v/meUgzNmlvDqmMIjkAu1pro3BdQhovEylhec96myUAKfSNjgoVga6jUDI1rPciUpoopRHd1wgp7aJtsm4OzTjOX9/LNLzhYBK/Z8/1+rdp/YVHAEqWl++52gY09ZtVVUiEFStmbJbO/93rzO+3izQSaXSzLMIw7twcQNxHEd2APp53/qST+dL4u5NEXdLqaCnuBZTiPb0Ovnb5Frl5DSl0QZ7vvK9+tD8LaWeupRBhFp1JqyL2+CYkvR72fMpXrq6ofk7aa0Q3w5VL3Hmr+lCdiS5XGy9EGN1vSBmFwpLq4rQHQGUOrRczMq8RrszCAwBGVvG1Me94aM3Jk/fSOmd9h5XW3BA6h3UNc2T/F0iYKBmCHqM6txSEJNUVSOzvWfOpknOMzk3a9aftJnlauhN40tqvpX/hqO+6Yo8Xwn33yDHf7zChT0jJ09WtFrIzes/LpDggnHvprLuxjrt1dI0/vvKsdIlKphzvLFgWKZmqNZpkdgEZaxCBrRSlH4W27poV1gJWv5owYACWNVgGQFgLy+ii/288XciPVOp9A5RyE4DxWNHGCdoZmqqSerh7CginXbQ8r6VURP+YVSb6r6s4pci4PcjqNMLcQ5O158emwwCFNTJqt/JYaWvNoL1G4jMhrZV3UrudtqtKtAWRx4IKtWUspZ62JZ47taqSwZ120GYgFNIIIlopLaiLqjP50xvE16hPXSaL+kwW9UEWNUEO9UHWhMHS3iTUSEL/uuiN2UN1PpSRJ0goIuOJXqKSQ4BAyNSJvi4/JwNzI0KZsTxYsjKD1lwNWsPosytXa4VDa22viTaCz2ZUGK4Mcu0BZHsA0R5AtGvPEnVvlJtp7SfOQEEV9Cb8E1nhEySFCh+WoSzUcpk0ITJ8ArN1rTaehvZHp4+FIenNI1mh+FppL6OJDhcpkMcrkHT9ZPy7I8Kj6bMCAVkT9yfa2wS0P7PuWZy3qZfOlvRxXiFAX6uPBfExk1kAtdJIlyniOLq52KgtcoDYlXYzO46CgiIKn99THn74YVx88cWYMGECAOC0007D7bffbqVZv349du7cCQDIZDJYu3YtlixZgh07dqCxsREnnXQSli1bZuJd9+jRA3/+85+xePFifPjhh+jXrx++8pWvYMWKFWbj+fr6eixbtgzz589Ha2srBg0ahOnTp+Oqq67q3AYzBpmRatVh9LvRq8yDGmnCBen4/wCi/6u/LkJE6sVC4aPM2RCgP2BtlLH2NpE61JBdTnRWeL/HGQIQcXghkdZvSySVprRfMn2NnlBHQoAxCFhtTGYvhDQLN4RMS+OpljNGFFpt7lX85pkE+fczkVYaNz+zN4R1DZLGGnqdkuWMAlok76nlpRGKdGVEok12O337r/ix3x2XtL1ebM8DkTifiq/+ev8SAeSyGYhAoi2bid53RItEAgDt2QyyucibJJQiCsMV2s9a635kGCDMkQ14pbrfiXC1MGOq3gvOra8e6xNtNuM0FeB1fgL5nknqPjmkLXmNsjRPYf9WtcHEDQsXlavb4XnPYOdpK88877VVdfJ+0nuSWn8JM3eicokvHb2VBbLtCMpBFmH2XvR8J/qi5hBk/hvPOaJj1pyF6BXod69eQZL/w0nn/s58YzXxehEwXWx8LZ1TedC6j8S6EOGZ9+gv1HCi60XLI+316lMkIIJInyJyajGpNqwX+6O2Gknq4aL7eDqXc40E5Hzy2dkhsuM2C4hQxgp2tRem0OOOSIZajvVhUXt1mWavPNUmGUrzzqXJQEYeUWHGEvvEubKPab+w2mntLZbv1qtOP87W8dgxUUwQe5X4dAXOO6X1C7p9WscX5KL5eeSxJBFkBTIq2kKuXt9DlSfV6tPfrVNm3jb63tGuGl+k/fszPzE6zDu/54KGA08fVIyhNCEb6vfQ1z8R2UF4nq2lby1QT6tdug9x7kF3GSY6QxYZPHgw3nrrrcTxH/3oR7jjjju819xxxx24/fbbsWXLFhx88MGYPXs2vvvd71ppFi9ejLvuugtbt25Fnz598K1vfQsLFy40+7Z2FVVrNDGbfMN56O4LLOCN958wjujvyShIJn2YgVnhZ8ZXvcFT5JiQ2McBgGWoEaHy3tQKYF9HDFI3gVjJTMZLk45ca45Lu31WXmnHyLUihP3jJ8ccr8lkR6WOBcoIAD05DIPIABM44ZlCAeRgXGKDdhEp5t2N3D0dY75OlXbi1kp83cmbv1pyUIN9JlpRGGRCs4FojfpbG+RQF+RQI0L1yZlN4AFYBpM06Mbw+nsu8XLa4bqAyGASSuEN0xW1K3oBczIynoRqBKfXtYcB2mXkVdKaiwwmu3I1lsGkLRcpFrTBJMwKIBsbTIQOi6bjqgqg9mNSD+edijcp9xhMSDrrgRJhUar/iFBYg5gWsK2BzfM70LKsJQS5xla1EVahwUNSoVoAQlL3ZP9vyis8OE023k66nkSKpN5hxrsksD3FTB+hr6ECf8rvInHvU35X5i9puwhVeZY2BbEA4u4rkyfuaochtQRfIE0ncsABB+Chhx4qUIW4Dj179sSTTz6ZN/2AAQPw+OOP501z1FFHYeXKlcVXlOlwRBB94lVtah+DILS9AMg1VJFoFJRqXy1fmKPoGliKSClVvwiyabyI0xhFqFTvngTckAhJ44ZH+avHfhHvReJuQK+VzbpAW2EqrGO+trnHUw0nOv8i8jGbgurJOZEDaNviC+x75wsrVHJYM7UC06vg1uMZVSpLei2ph0qsjfWCKDeE8ORB/8K+nwljixFqVRl5lDr5QsSlHjOXCOc7Evc3L+6gpW+LAHLtAWp7xG6NgfYOllCbu8eDZBgKe1N1EbU5NppEe5jE8qsjoOumiLge5ndEnyltn/tcXeG92FtArvEZT/IbJoq82dIOC5e6zxB938g7nvcdofeB1lOS/PPgX7mc8o5Lp81doU0qA1mE2ctx5gRUQWjmGWrBoNDnNfEQm/hu5jh0HuYJ72INr3Ra5/52yZicMH7oPsX9qZB66UiJwjPHN82mc55AySEymZ3bbnNvyPxHSET6CkT3V6j5GfX6TJCYAyYnZalt1FnoMShtnmaebZyG6sfMfJnUx8yvAWdkIMGwXHlJ96eqPlRBTue/QHRv/Ctr7T1KkvPNtLEhmV6417jFKZnV/B/OfSK/Bd0erSNI0y+Z+0p+Q1RhnmmLzrceII2uIdeD6D90Hu7vCOqdojKJRKJNhRT5JYVbShM/fGWk/HZNdf2POnmthD+vtHLTSLsm7bfoPEff9bS/SBhNBemj6A+H5kfbm9ZGVbfdEP1KpxNkkdWrVyOXi5U6r7zyCk455RScffbZ3vR33XUXZs2ahXvuuQfHHnssVq1ahenTp2P//ffH5MmTAUQLTmfOnIn7778fxx9/PDZs2IBp06YBAJqbm0uq355StUYTiuspIaEGUaVk9K6oQPx/evzVhTPM6cNnRw/rtQUzMHJOc3wN7Zhc4YRmr5SGMqM8VPQYQkN06U5Th/DSYccAKwQPLSexeiDw/NBV+tQfpjtpRjSpsfYCQbKeaQKV6aTUwBCGgMjG+zAY67rucHQHRqz6Oj8zcFHBxhl/8yqFLSEJtmcN2b9B780gayVkbQhRq/YxqQ1RU5NDfV0WPWqy6FHTjvqaLD5X044emehTH2TVxu7RhuuA3sw9AxdtTAHg3WcESO5pog0der8Rd5N4HzrsF91IPiszaA8zyMpAheHKoC0X/W3PRV4nbbkM2rMZy7skzArIbBB5ALULBGoDVO1NpR/CG1deBgAYMa85GeqJCmdSSwDqgID9TliDj4z/KEFGBiSuqYQKnxELq4nBiwpEVHlPfrt6c3VzjY8UIdh4mQhYQpOk7xc9rv+6eepboI2D2hhF83bCapmQXHQDd3oPdPtVSEHh/I4SzbGEbuf/nnuQKAt5roXz/06iM1ZUMEzRBBJQq9BFoPfFijZ+B1RYRSpU6z5Rf1WGEykFcur4hrPmmPMjHrkOAPD6mT8x/w/VNYFSnlM1pyDnhTogglzkBRqKhHFDCMSbs5Nm6SoLki6qr918Y8BBmFDaRoYeIrSYSbVdXxq+zM4z/m7Sk3pSRS2tn/Yo0CvhpXPPo4T0GSD1+QBIbuZKz6et2tCtE9rALuMxEvEzN/lJ2Mp8cr8SHbH7LFQepv8N7fQm5JI7RutxlBaRMu5F5dFZYxqeDNLG2tRBKa5ffJ1Uz4HUWd23LVOvBgAc+j9vUBu5C3uz+MQA4DxLZ6BMKCxEdDxpcCLvspF13PtAXy5PO622Sv/tyzPL9u6NEr9o/qLdOqvHav8qnbJ9j131HeY+OB0INexYzyPRCPr7hv0OkPyofBSfU30AFTppHpq0RXEdCMsiTHfiU8hZit4s+e525eRa+o6+dsMM8//Dr2mOjt04w+hIrGkv6QKkcM459UwMaZ45vYurFBZAtCDTfPGUo85F9RHWnEmYgu16UeU1PafDbIlcdJ3I6WuEmZfG81pp314yAbQVuHnGBinsCCqI/2oDgBuynaYBEM+Tg7in1MYjM6c2ifV5M+TZYxNE7GFBxhirBeY+kBM+ccn8JffE8/yNoSNPOG0rX9BbSuQFSfICrHvmDXvvlOGmBRDpGhG9DwKADIB110W/l6G3NAFhvB+OkIgXEdLxjpap2+bIPj6dm9sG67x1Yzz/991rn9xJ5UVaX/dSkTyeMIT68L3Tbl18310EbH2IU1fLGJp2L+E8d31eRdug1+q2uds9pKroyF43edR4HUopskhLS4t1vL6+HvX19Yn0Bx54oPX9pptuwtChQ3HiiSd68//3f/93XHDBBTjnnHMAAIcccghWrlyJRYsWGaPJ888/jxNOOAHf+c53AETeLOeeey5WrVpVsI0dTdUaTXybH1sdpvYASXk5LYNCykv82oJYUFh3ffz/EXObjUXYKENVXdb/JE43/Lrm2ACi0yEewPT46W5Obwb3GrudG2bPwGE3EeW07gRMCKpoUiLIcdpZ77Zp0zOI+HQEQrcPiC3pOmQZ3YAjX170u26jK9g5WNfTYojBJI47CrVZZ3RvZE30EbUSQU0ONXU51NTkUFebswwmPdTm9XVBLjaW6BBYCBBKIIuMUXi5IbQiw0lsYAmcG+gzkuRgG0zCInvanLpGG0qiv4GzZ0lkNMmqPWWod0muPYjCXymDiciJ2LhFqq0NJkVRzACof1D0eftGXd/g5Ax0RlZzBr9oECk0ipBsE4KDgCVE6N8y+WuF1NNCqpPOrbd5zQP7HsfvLGzDSWCnSVVykYG+KIMJosmQZtTVzUlhRniuRXy9db/cvq2zSBG2E2kYpjPQnY2A8jCRCALHs8LtxtS5YvY2ef3Mn3j/P+w318ddJclPH1uv0o5cPj8qPiOj8BKqD9RGF21w8I1L+nwujDud186Yh1H/3zxjiHANGsZ7xjN2uwYPXXZGeeWYNmijhypDBGGiHDvf6G8gJEJlkIDyigtVPxUbZNRfwO4YzXlh1VtSAS70KNSN9oUct2ZuKonHcGKukWqzWElkOCMDJQUuOkRSo4tlCNAJLAWCTLyLJva4GSxQAN9gkid52kS4UBFmEEdUQW1QcsrSBhMgCkMncwJShaOToTJ0uGORfpZmoYKdaVIBE903KRGHmIW03vOk8cIRbs3gmdLefDfIfd8KUeBe+w0h7kvsK09ah6wQX2nlqufgNZjobkXKSM5UcxkA2DLtaivp4F8tIsKMtN9zkPdY189T7U6HZRGmHKD9pJ4T6SgBbv8fwNJp5BsC6PyA6kiASDfiVdACeH1ulHb4dc12HZEc3ug5n2LTzXfE/Gb7d0e7WvV/cyin/mMt8ov7ZStsppNXWmX1GCwFjBLdrWfCSOJm45bjUezH/xfWvUsLYe7WQQ/9kpxIVapSo7XWp+n5uSWgOOWqdggAOtwXTZqok3N9PJ+kspF9D0y6PLIz9ZaxjQrCyi+fsSRxb+i9Ju2gx+jvQ98rq3x3bxsX917Senhkn0T9nEdTkLR3xp2veOqVOF4svnffzYv0Xfq1S9wbkpZuOZA473u/9HWkrfpdMYYtR8dM9cCHz26OblMuziPxjrv9LD1W7PPZE0qQRQYOHGgdnjt3LubNm5f30ra2Njz00EO47LLLormNh9bW1kSIrZ49e2LVqlVob29HbW0tvvSlL+Ghhx7CqlWrcNxxx2HTpk14/PHHMXXq1AKV73iq1miiBzzLi4RAjRmvLprhXr1HvD6/uPxcA4rp0AQgM7EQ4aKFCnq9ZuPM9LKH/qwpWu2a70fiDAQyzarkkDbAmPO6w1DFB1lAhvArTfPVz00bj/CJuqTN6+izt1bm1yDaa6U2+ovaEKgLEdSGqK3PorY2hx517cZY0iMTeZrUBZHBpDbIoUZERhMgCq3VrhQ72qOjTW+urrxGtNIJAGqCKHSXNrjoDeWB2CCijS0hCc1VrLFElxfVJzAGkqwMkM1lkAsF2sMMwlBEm7vnVB1zKr53NgCyAZAVxliiw3HR98ZnLHl9XiS4SvoMyXOwFDdqZNIht8wGyq7yyhEOAefZOx8tPBr3WsdbyWRNBGS6ZNo6jvg9sr6759V314BiGVPpXzpoqjqryGpxyDhymxJ5u948sK+xhKsUoSbNSOlOgICo7xx1dbN1LNDeaE4elhFZ//703iudjAilCbOWLw3DdAbR/iWhCtMVIjBKVViKfuo90hEUm9+6b841/z/itz8xBhDd/b12xjzvdYc/Og85KfDaGfMT51493X8NAAz7z+shpUAQSASBvTSUGmjczaL18VACUkoIZTzJqSxqMnZe1KiiQ5fl6DhC8jayhBqkdOguqWVIMtZ495/QxpJQ2PKPb4ldog4pM1CPQoN27MLNShJFh9lvQ11LPFQSMp4eR3QMdvJ+euvlQ9+vAt1owhMjkY+nYHo/tKLBkhmgPIZgQrkCAlvOvzKR1aZzr8HgBxdBavkFZNJtZA2Y/fSiRSGkjVa9oo9Q900GUoXhU3Wk+/sIRIoaKsZo46H5Tsrx3n/1x7rGnYkTfEoG67t0Tup3GeY5GAMgud5MgN33lPz17YeSKE7lnWowceus7ic1glG2TLs6Npzo37NlwELSiKOrEnp+p50AyyJMd2KUfnSuQRa8aXm8WD1GKRSTZ2JhqeM58vo8fx4j5janlpGmSzHXScQeAYCZH+r5ivFQFYj2N3UzccdpSYZ9Rw8CxHNeGQgr74TiGSjYJ5roA2p+CyTneXm7NQlrrqjr6c5nk5D5cIh47AQi44lulNsGMv5H91fEh925s1u+b85K2moZSmR8//3iVzToC/PQSVrnPvpCcvlI6BTIM6FRajRvXnYZDrup2R4XnXul9QX6lLkdnjqYaDO++jn3gc7HaXkm77R3xn0f6D3O93zItYl3izbMvQfSc9/dOsv4Hrlp7LDv6pRnLx/pPgN1b8zvkuqSM3E51FBCeW1B7Glnfpe07vRe6GPa2yRA+v3vQEqRRbZt24bevXub4z4vE5dHH30UO3bsMKG0fHzta1/DvffeizPOOANHHXUUXnzxRdx///1ob2/H+++/j8bGRnz729/GP/7xD3zpS1+ClBLZbBY//OEPMXPmzOIa2oFUr9FEdVbmx+HxOnnl5o4XCnYXnwGkI9JS3rzCVmYP/VmTbbV3Oj49oHjn9wLElVMdJjFQTR9IBzT9nYYF8kwOEx2q8Jyj17uDY1rnDdJBkTaYtmSkCcmFjPIwyUhkanPIZELU18bhuD5X0466TA49Mu2oESHqg6wxdAAwXiDUWLIrV2uFvgpVGiAO0VUTRHnUGG+VuAGxwUT9TZFmfHum6LTZUIX4CgO0hxn1NzBGklwoEKo0MhQqjIXaJDgnkgYTKiT4lEOKEXObvaEPouchE4O3VvQLkMmsO/EmK259A7ZW1Atpn6dlW3dQeAYrukqRvo8ifpfclQgW5BqTnpbly4e+74DloWXZjXz1oUVLj4zhCphOeisNOUbd71200dkYT5x7KCTs0JlEELQr13kIT3t9aRimMxBCmj1NtCcp3cuko40le8LfJl9XdNo0Y0ohNnzLbu+IR64zxpOMDgPm+UFKGXlKums5dNiuXCjM9UDUFYXwK/ItrxQk5yiJkF0yeZ3p0HX/ZskggmTqCjnJ+tjHyODk6x/VeKjHT+s4LVfXSe+JpeulTwfOtU4RRa9GRJQvjUWelo8kmpmiN96WQim/pfntWAYTatCqkcbz1cfgJTdFe+i5e5aQMUKHQDPyjQ65os/TAdVMztX/VT1977DlOQRY++OkGjicQTxtc3d/4rTzvuO2cGEZcNzUVAYzAn/8XG0BwLnYleP0Qee9iW+2fXmawcScV94ng5csMnkIYgSMjSZuvfx9TkfDsgjTrfjkfNJXvn5dZepFdtfI4143/Ppm0x9bPZnuP3z9ITmvuzLfnNO9QIfwovmb4hICiX+wTA29VcLYTeeKVvnqBqTKAYLM1UNnbPO1Xzj3yq2rM4enD8BSL1hzdFqeSJTvq0eaUt/NP1XHBP98222ryStFFjl0UbM1HtBhlJbhHQ+ce+PFrTe51wmDia5AIcg98t6vYvNxdCdJ/Q4pUj97j1zkfZakjTRMOc3P1bUk2kS/e9oKpBtMNHqh6eGzm5PtUu0xj7HQ+9QJlCKL9O7d2zKaFMN9992HiRMnYsCAAalp5syZg+3bt2PcuHGQUqJfv36YNm0abr75ZmQyUezGZ599FgsWLMCdd96JsWPH4o033sAll1yCxsZGzJnTtXPnqjWaBFkgENGAEtK9KtDxniWVyptXXBYbTvQk3E3krO53QwsJbQAhlni6/4K1T4Teq4VcH61uhB1WKIC/Qyf1MB2ZbyN4X2cKu6N0QxmFatNsHY5L1oYQNSEydTnU1ubQs74dn6trwz61bWbvkrogh/ogi5ogZ+0X0i4DtIY1aAvVZurZaDP1XdlatGZrTLirUMZhSwIRrbjNBPHfjAi9IVE0NMQXTZM28YtW5EZ7o2jjiDGShHEsexkijvet/oqciPYsySplRM7Za8Z3wykpzzJSqEe7kUgtpIbRBZZyMUW7Eq0AiBUcZsM29b5FDUdSIaGzo3uMeAYQa/ykQjF5j7y/G1/bPcJK3vfcKCOcuvjyo8fVfUwIzl5lhU0hISAfpfaro69qjsLzZQun3WPyTWBoGobpBDJ1OWRqcrbgLkVZGUu6k9fP/AmGP3IdAiGRC2G5cpvwW8TI5Ibp0sfckGahk97FbFJvDiAeByXM/hhRJojzkrCMKbGSnSh/UybmeY/R47r/logXHLjGElMn3R51obDLN4tZzMCgZS+pFo5Iz3giYZTLxc7gVNsTk2lro/TkPbWy8JVPPV8kIGXg94aQ6cYSq0x9H4O4XkLfC337LJmB3DNdQV2njITMRAtsdD7C56kjEb/DafKQ8/4m9gBJU3IkhAPrYHJCTp5n/B6TZyOiPeL8GkI7s4QBJYjykaocSZRpZt8f82KQujrGFjf0Vqls+W7x1w9dtiDy/qvNFU68p7AswnQj2sPbmjuLeJ+FvZ31c2Zg2ILm6AvtkrS+wUWNUT57rzvv1MpRW5Ev4u7PR0pfkFDoe8orBUtZ7/wntW4i/uP1lHHb7yiv8ynZJb33wk5rLf4g+h57EWeyXXmRnnsq3WcV19/KV3uhkEXapv555BFrT2A91NP5PB3+Xf0EHd4dWc9KT/dIhnVLE7c99V7lu5eeZ0gNS2bRjKPPsK53fmc6D8to5HsWbh6AkY99xpK4gp5jsO8XvXZPve58UTrSGH59M3J1gOwCUaQzZZG33noLTz/9NB555JG86Xr27In7778fv/zlL/Huu++isbERd999N3r16oU+ffoAiAwrU6ZMwfe//30AwJgxY/DJJ5/g/PPPx+zZsxEEXbAZnaJqjSaWBZYMaGwwsfF5n+jjQ29pAiTZDBuxgkFmVKemDScCVgghhCpMD2Di/9HO3yjIM7BC9fg2agI8nXWawLC7kw13Yipg4s4HyoBR43xqgxwCERqDCRBvrp4NM2jL1SQMJq3tkdFEh7wyRQpEYVsy0jKguBvsWrfAI9CkGVh03XToLSmR31giBaTeq0SFpxA5JfW54UeKQQ9qvgFTS5I6jj4ZRKPfr2dzVSowUWFJKWxShTE6sEoA+v0NUPD9sYxu+i/gb1fa9bpsKhjlQ/jlDF+e9gnYgiYcuc8RaoD83iSdSbmtqGCYDsfzA2aDiY3eX0Uzcvl8AFHosJHL51t7pljeElrBjEjnnVMLMwqFiTLX6zwkkvuvBDKZWKd3Z52uoUTY1yRIU4CnpTOKfmkUNQnvEKWslgJK4R5Xwij8tSLehAhJ5mMZY4rpGGWesFw+90h3okyLNgt4HK2BkRMQh87SiyT0eapMScEswlCygpZdI8MUuTdSRPKtvo9GptCCF9T+d8RIouRGEdhJLSOb21YkzxXl8aDzNEII7PsprBtnX1qMC5Eg7SRlUm2G95mHwg5zJqNnhVBEnso5EXkDCWVo0vedsKcGk92laM+nPSmDZRGmO6HzAjUXSQt5tbeyYbZ9P7QRZcO1MyJPFIKkw1TaHJIof1N/2kX0Czqdm17QBYKeoSAVn17B1wemju1xPmkKfVNO4h6I9PTw9MV63NHtlvFhk0eee5hXp0TzJP+39Bx5ZDvLYAKl8woRGU9K0bI683n6viR0Gm5b6XCtdCIJLyRhDd+7ZyTJk958Jc9bh8RyHbTTri9Yps7X04+Z8rROMSDX0Hz1cTfkmiTjs3qee7KQdHcIa4GwXgKtnV9WZ8oiDzzwAPr27YtvfOMbRaWvra3FQQcdBABYunQpJk2aZIwhn376acIwkslkIKU0+292FVVrNJGZyHtAw8aS4qBGlDcvj/8/9JYmRDOgOK01hpDJqu6spVpFHrSrOZTa9F0PoGEmGlDC2uh5mb1FaIcukVg9oPN3Nzcr5sdv5pfS86FpyQQ4oz0/gih8Vk2QM/uNBEIip3rxbJhBuwwi75JcLT7N1uKzbC0+a4sNJtn2DMJstBGppWQJon9EEE0kRRAbSxKrDdPal+cGUKVQqI0iaUYS4q0h9Hcp4gGG3K83rrzMGNrSGPmTZnPPtYFCSJiFjfq5CBJT2rwDjhAhhUgKCjJ+/xKCAsj1emAN4kNSqvqovPK+QlQ/QQZuakSx6pWSh8nLJ0T48nD0It78fMjkCofDr7UFfiG7z1iiwyO2tLSg4efXdG5hoYw+hdIwTGdAVlu7oakYP3SfFfr/Yf95fZxIjSvR5vYidVGfFQZJfbcNJUSRrGZjXgWqSisCGYUZdTtm04/b45hVF7ebscazlJm9gNkvQwjpVTRDrQTQ46ke6+IxWyjBKc4r8iiIy6Xzj1jnnl/4MNc4skK+9uVVbOh6CyUTSrW/mVRlZAWCduX1qmPzI5JXh93QrGRKfwGH/a8bIILA7FNjKqNukjaSyRAQNapxoYgmZkYGJQKqgPEwgQAxgsTt1p4W7v4l0eOy7y31MPEaUvR7qt87a8LveXcEgISQQAQL+lX/35VlnPytEGzOg5RQ743yKJFhrKHZ8r2rrLSDf/EzIKfC4CqZrLuMJW+eMxuAkkWmLejcwlgWYboRo2AX+ff6YGKoEWX9nPj/I+Y2O/uUING9Qh+SicMJvB4D7vl4uDKZe8dT35zSk8ZdeLdbSlLPNYn667GF1NerwPfcPytDt71p6VPqkSZ/GQdQQcc4T3m6DlrPkIsWCFMvpJcXz8CRlyqPgQy8DFvQTEJbOiepAcbIYSltSHsfaB2d90rrt/KS9k6595vqQOD8371cpnyX9nfjzEv3ERFx1CCaxqoLYrEkUQfyfcM1dr83/PpmswgciP52lyFZ70vd0tKChrmVqRcJwxAPPPAApk6dipoa28wwa9YsvP3221iyZAkAYMOGDVi1ahXGjh2LDz/8EE1NTXjllVfw4IMPmmsmT56MpqYmfPGLXzThuebMmYPTTjvNhPDqKqrXaCLiHwAbTPYcbUAZ2tSUZ4BUE8YgUoBru2CknFcdWYioU1VGkrCG/CUbaEIKs6gtWZj9ybvCgUIGH1NdNRc2Svy0S52KBGaz92gjd20waTNhuWrQmq1BW7YG7WFGeZdExhJjMAnj1ZlCIlqVEKrJdaANJyAJCtXPPwGPD4g45Ij+CxGt/NOeJKFQ7olCDbr6b3y/0qrjei2l4hMS3PbowTPlOD1pDHaO4JC3Cqrp5pWQ9ndflaPCEAsF5K85R9IZnYKnvV4PkQLCbUFImjRDyGs3zEgYTvYK6LuRLw3DdBJSCmw8+9rurkbFo41Oh/2vG8xvNjRGqaQiNyLukKPFCLEC2DWWxGlg0miirlzY40EACMioi0kMWMmaUAVKfNAzMzZ5SKWQh7WvB+Aq1+OBJnaMkFCBlgAhTUgu6hkBIJoYUQ+bYsYb2Ap0vdiChs3S1bcb7zkOMtkNlNaCToS1rKdChAatApld0QKKsNa5Ve3AxpmFZBEZeYmk9flCFSpEdL9UG6UjlPrCcNH9VYyRg55DUp70VsFjOEk1mADJG6rPibQ0ROihihCTb/wbcQ1fsSEusDYAlgKQVhkCb/2bbSzRbPnBFRh8z0/N+7PXwLIIUwawwWTP0WF7RsxXG9YTUYKyp55jVLnsLlxMMwII0vfn617NKUdhbZ8sHe+4T+fCup76H1eXo5NpWSdt7k8PFaNXkJ5jiULjv75rTPl6AW82MpxY9y4EMrsK7J2s35kUsU+Sc15DgFM/6nHkNbBpGStRmNPuNNTzy2ewcI8VZeTS76kTZUnqsgJ/3t7y9HFPm1wPMs36OTMwYl6zf41JNdNJssjTTz+NrVu34rzzzkuce+edd7B161bzPZfL4ZZbbsH69etRW1uLk046CStWrMDgwYNNmmuvvRZCCFx77bV4++23ceCBB2Ly5MlYsKCTF7h4ELKrfVs6mZaWFjQ0NGDnzp0lb1rDFMfQJtuzwCsgKCV8oD1N2qOBRXsaSMfLJDKaSDsP4jlgQnzRvVFCe5AoCtoJk5BgoVqdKOskwjoJ1IcQdTnU9siiZ30bPlfXjs/VtmHf2jZ8rqYNdUEuCs+lCg4h0JpTe5jk4pBcn7XXmpBcufYMwmwUCgs5YU9GtVKEriIVSKyQNc1IkcJSwy7oyTudcCujjTGW5GBvGGttHovE4PfGlUUaSaA2gncNDtp9khofPO0quGrBcdmlqyus/XXIvjvUa8ZdpeEvDLFA7O654xOUHaEhkVdaGQrX6HH47OaUi5L5FeM5og0n3eVlQunMPlvnfcK/zEdNTY+8abPZXfjfT8/lsYPpMFge6VyG/ef1tqeIO8O2FNaI9cR6rKGdtmMs8YVOihYdBPbiA12uYyxILqvTmei/Tt08mHqa8SZlvwyVr/Ya1YroxMbsCYOJngU76Wj9U8rS3qpCh17KKVnC1w63zT4lSiDjxU4ZGX3PxF4IyAogKxC0BahtEQjaor0LAeDVhcWPY0MeWhjdp1xgFvFE+5nYMldCXvLdH/J8Eh7Blsylr1F/3HurX1fHqGKuV/l7jSY6H59igmIpJJLP3RfuFfB4iNzzUyOri3aVaaB+S847v+X8Kz0VsRl0380AkGpc6UpYFmGqFZZFOpcR8+M5mqv87TA889ViFiWkrbr3zq3pPN1zTb66WemIst9SttPzeZTrCYW4m587/jl19oiAtmeDWw/nntKFokZUFLCeQZCNdFMB2ZfzpduKl0WG3UDm9R4lP8Xr7eLqZtxjrn6M3NO86xTy6Cjou+19R9xjHt2ROaXDohdRLpA09NL7JzNROr1dgLlU5e96l/jQv+FyMCizLFKeVK2nCdN5vHlZrCw/pDkZmkkKABkAgUQYADIQ0R4oalN4AHE4rgwgMzL2MtF5SECEUq06hDXh866sKEZYKDRIOMp7urEsJZQBslIaF8pQCuNdsitXg8+ytdjVXovWbAZt7TXI5QJk2zPKyyRQm6tHlXNXAQDCqrMkk2vqdaLnzckVEHYjLWUM3YtEKXki4UAZHUJhGRPiTEyxhlIMJvmw9FamUXaC5POmNyhFWHAEyzg/WPoC8jU+7yvKejeSQnEpG33tDh2dfzkYS7qUSKtaOA3DMBUDDXU27DcqbBf5GYch2SieeIhIRwFOFcUFvQCE8t3QimOplNkZJMYaX140LJge8xLJtEGDKOOFiENqWflR441bT6HbSQbxRB5U2R8fp+UaJUsYe8rKnIDQYbKMh6pzD3RbfBNpaj9JU94AcViutgBBVkC0xx7KORQ3GbayzajnFRgfnLhASb07iGHCyGjSaU/yHqXtU2JKcYwrQkTeQFGJMpFWn5Ne7Q9gjGSKLVM7N8TVlumFDSGlUA7Gki6FZRGGqTqootXd98S7ut49X8gooa/3zWvJ94QRRSJhCDdjlZsF0YOkXZNI70PPwR19giigrHecFIu/J/q/HvlDuPnqeruGE6pLCO2/ECQPdVxvri5ykUcJALx4T+nzapqv796kecL4Fola7QiRfBdMpoAr+lj/p3UhaW3dVHzO0oeQctb/pHP1DBuu7dj8y8FY0qWwLFIybDRh9ohNM2zluTGi6HlcBgAkQkSbeRvrv/byIAYTa06o0mjDiXcw1YO7Pl7sb1tdZz4JzwE1EVZ7XQgRbbAeCBltpq4+WQTR3zCDtjBjheRqy2WQzWWQCwPkcgHZOyRW2Ai6MlVa1bO1+Ko+0oz+wh7kzKCbHHGtlRVmNSyMoQRA0ljiuY/24Ctw6M3NeOOq3RhglL7AElp8x0hZafkk6qXz340+ni6SdA1tlnBA3pPONpQwHYfllZYnDcMwlcmGs+y9Yqy9TxxDe+pqR8Dae8L1MjFQa78gym5n7LA2Uler+aNQXsL8NWGgaAWVIl4Y74coHzdsmK5fvIG9I0TputJjejFIPuWFkMn6q6pJRLKMDpUlctHeIpY8Y2UmdfNJHexxVYcOkwEiY5TyOgEQGUxywlYOIL7+sJuaTRzoYhCBRJAJEcpM/Byl5zmkyEJ2AtImIL/BTSBhXImfWwkYxVn8/m35bvfsBcKUDssiDFPd0H1PALVngl4B78ofcP6fbzhw0xQz100xflCnXG+0EFdxXizUuEAV+4DZz9Qy/njy9kVycO+VcOpndEFuemnP7w3Cn9ZahEnyc6NWaMNEkAPCOqDmM4ljz2vC6vtLWFCq1DC+Z1AU+QwnVKdD77eGbJLue42MTiZP3X0LSDvbUMJ0HCyLlA4bTZgOhRpRhjY1xSGYamTcgWscJTTFEi6UxwoAiEBN0APEE3UadgmuciNpEbc+GUDWyGjlYq2ErJVAXYigNodMTQ61NVEYLqEMJlkZYFeuBkGYMd/bchm0hxljLGnPRp9cLkAuGxgPE7PRek6NUj5vExcBSGVtilaZuhoez7WOgQNwBIG0sFvFLnMQsmRPk9fnz4hCdKn6GeFGP2OloNldl2Cfd0yat4kRoERcvD5uZe0zlmiDyd7mqVHhCCkhCqyYKHSeYZjKgXqhDF16I4BIYa435jZIPQ5Epo/E5u4pCKVn12MLVX4b40YxFnxhCjXftcFEe5YEgWPoUHVM7bLcjeKJoj41vJdqkwhCBG6oqlDEiz+yAcSuAEFbgKBVRKFXU+oh9UCvJ9dGBovapheCUA9fAIAyxADCbDAvclFZQVv0PayJmrhxVmlj8ZvnzMah//OGKOtsoORHrUlC/Fc6IVSt+wjlsQNARu+UuweJFZqL3EvrfAo0TBe9zgrPpWCDSWXBsgjD7F1Ym8fPi+bBiRBepRom3DkunHHYpwfxlGdHevDkR5XqHp0NNb64ZVNjRcILhCjcvXogquz3GDOMVwyJUiJ1OW47UwwDIHVzw3FZWagQ8aYOZPN3kQWCbHTB6gdK04tsmD0Dhy1stjZ+T6limirGMkzRdiQicFgXRiKnBGI5Rh+3k5k1JfTZy0xSrwagpMUrTPfDskjpdFbkRYZRYRsQdawZafYxMZ8M4g7bJzD4jByuwSMDhDTUFzmuvyPwpDN7qiiDSY2MPrUhkJEQmUhREQShsVNEXiWB8Sr5VO1ZskuF49qVrYn3L8kF8cbvYaA2SFUGkxBKKSCsVQsiFPbHWkUgjHHIGFyydKWnu/LTzt94l9CN3c0gq0ZDYkQx+Cb2ytNkj/DtKUJWR5gP3YDe90Fxeqm01TZaEPB96PtHlVVsMKlAwiI/DMNUHVruDwJtjIiNEiJAMhSFGQRi0sJ1Rvnb46eUUQhO7WEqQ893ek1KnvqaUH3otWG+cRswcpVQBhcRpBtMhE6nDCYikMgEITJBiMAJzyWyAkFWIGhTBpM8/aY7qU8sclDGiVgZ4cgyWREpJ7QRhXjIBtlIfhv6s2SI2ELo9gY1ofFsib1eYN8jKhQoGUrSTe+VpoF6jRiDSJps63vmVFmV512LE0s2mFQiLIswzF6LDlMu6FgI5J/nkrmxO9anzpXdcl1jgFuuJ70+7xuK6DxZf08tUzrffXjm9lbb3VBfNE96no65acYYaiBxDCYATPQRd8/VtKqHNQJtvQWOvGQ39CJFGstSVDF+bxD3Oed5L9zr0qJ3SLVQhOrQqBcOG0wqEJZFSoY9TZjORRtNAmFt9O4SddQpo66M9/mQgYTIaKW/SFrWgXhgoIO5ZWyJQoLJGmm8YGRNCFEbhW3I1OZQUxOitiZnVpPqUFtANCHOhQI5GSAXiuhcLkAYCuSyGYQ5YbxKdBgLy0iiFAU+4cfUFwCEiFbGqtUakozaWlGx+ceXp97TQ25tsoQP1/PC8i7xDJSpLhi7i4D9nHKIFTueFSzWdcUcKyAQGPddnVSvgkkT+tR3DsNV+fCKCobZexFB7K0ROBti65+9UXTnGe8i44q00kfGDWLAAMgE22PJcOUUcsp4LoCG74rSSiHs6FHEQGOulxIIYHk9UM+aKA+7/kJItUG8MIOzlNrrJgpFmssGyLVmgM9qIu+SXQEyrZEcolcZuiFJXIZf32yUFDITGRxEoBbTOG2zVkoSWY8S7sHsRQQSGaFCvwogzArHM0RE90SSx2TJSwIylJGMpmUI5d1j7z2SLFs/D3f/kmLYMmVmydcw5QXLIgyzl6PEBctwks+Y4F5OZAgaOcF1E0idUzt18ZVheYE4ZVP1QGLvDLMIFGRhJtVrxPXVxwVIhj5dDq0r4DXW0BBXhUJEHX5ts61LSSnHGFZ8epogWoibkUBYm7e4vNDN0FPb7ZxLCyFm1T/F6GUuUbo5GcKWK1VYem000h8hVVoJiBzw+jzWi1Q6LIuUDhtNmE7hsJua48FRRnP5kuM2WksJ1DE1mTehHISIO3R3cNCrAwSiGNnaa0AbTTJSecBIiBq1ylJ5mACRZ0kggfYwgxzpOHKhQBgG5m+oQ1fkBEK90TsNxUUNPBLWasmivCRSbkshNl1ih0oDgDcvv8xemZn2UBwFhk/wKnlfkxThzNwL9X+rOiKlvWnVzndvhNMUT1kAG0mqknyTEpqGYZiqYuiyBZ4wR9FfIeiEUSm89ZiYMpiYsFxCmzYcaF/jC6cJmIHH3kZDesdZH755TGKfEi0oaZlDnZdOnfTeKNEEKogmxkGIUGUW5gKE2QCyPUBgNn63mlEU2qgy7IZmiCyw8doZkceqlEl9j76H2lAhAJkBsvvmULdD7QAPRF6yAIb+rAlvXlFCaAzz/COhUSjFRWxgil8QobRE0bk8QqyEepiOhiItuRRJbxKneADY/D9mFdkopiJgWYRh9kpGzmm2IxcA9m89j14g31hrGU5I2kQIsJS8k4lsI0eifkC8At01KGg9jBvSiuSRWFdAlf8yNrTQtlAjkG5DIIBQK/aLbRviaBGHz46ex2sLZmDU1c1xZBQXtw0B0F4P42lrdEsARl/ZjFd+uns6BLr+xbegtpiFofr+GHFExPfGdy9dfCoh/Sxev451I1UFyyIlw0YTpvMJ1VgohenEAdi9szVjjv+bXP0voxV9ajItIS2Lup1Wf+KY2TKQ0eb0gTKW0FAdmWi0j0JfAKGM9iaJKwMVIiOwQm2A/NWrIgOtWKANIB1UQaGIGnzyMOS2W/J6m2jevCxWKLjKhUN/2oT0mX30hxpHdic01/DrlREtQDJOuC6HKLKi/9jpfCteilUy6TKsFT06f5IHG0yqFCn9mkY3DcMwVUfCQyNxXg8E0UlpjsXXWpt4S92lSAQIIIWM5QEBmJmqYySxypfxH0suMpWK66C9MXXhVp1MviR8l1q0YZVLPE7oZvK6rlJ47pNEtPAjKxDkRGw0ySXv4bAbm7HhmsLj54Zr4zTuoosht90Se3eoxSUyE8l8YW00c6dlDP1ZU2kyAIBhv7k++o+6LpMJIQNhjEcALKOW1Itc1P2UKryKN+yHeZj6fCyfSuLq6nr7mGPOu8kGkyqEZRGG2WsxCzzpwTx6AR8+75KEQlz9n+ZPr7crZZdtnffJS47BxA0xlvCcEaTO6rzMwBhIvO2nBhqQIZfuX6sMM2FNnB8QGUOAwvN5ev7VRXbaMVc02/u1qOE5rIvvz9qmGXb6Ejc8GHpLU7TwJoDlSWtEBdeLh56X5J5SBKyFxDKj9W8wYqlO59OZuc9e14t1I1UIyyIlw0YTpsM4bGGzbcF2O1+oPtoM9nlmu9rQkYJUxhCS3D5n5aWMJQKRwSWQUZgvTx1lGIWjsMrSA6YK32BCcajY1lHYrVhJImgoiZR4gHmNIZ5zlu3FN1DuKR4D1htX+wfJkrxLrDLivFO9TvJd7ktPqp1w76UCXL560L9MVZI3li5JwzBM5aM3fo8QkHrGqKCr/H17R1CDiW24IDN5rUgPQpiVHOq4mWcIJRdohbgU9qIAqHNGFpFqcYH0G0xI/ajhJFK+k3BeEN4N73V+ksolUpjhX1c1Gje1scCRcQATUsIMuWRtyR4hopWjQHQPNJsv8i8MKcm7xCnHGC4QvQtCCadhKMitEtF+J1RJEyB5bynW6yTi56qPiPg9scKodVQYVKasYVmEYfYeRs5pRlgbKZ/NEK/DWhKlfEF9B8HqH9xhPo/BwwoH5qQtNPx4DRrS/m5f4ORL5A8RAqLNk95n8KGQeps5vjKcmLw9Czr2FCmicR8AXrnZr/9Y+7Pd04vIQEaylec5CsCExMqfiX2dpeNQ9whA8h6DHKfXOsYipjphWaR02GjCdAiHLYws+74Bzyyg05Ns2mG7g3bawF1gQA+phd8KQEk/0howpDJwREoEJ8wGWWmoDSFa6WEGIRW+K1bS20aHTZcWntAf0pxnE1NVbjSowtTdal5uzyfab1y5m4qHEjArI7SyxRjOsHuDMr0HKcYUc85jUFvHm7nvVYhcoY11ozQMw1Q2Q5ctQGQoib5H4bRsK70vLJKAJB4Ywii3aVpBrpeI5I5I4REiVPtbRGFClTJcVUJSzYHPiK/rJOhfT+NIXUKtuJeB8Ygwnq85bQGJkrx13lX5bxqAwXf/1NGiwOSh94ETQaSUEFlABMJS9mT33fMdI9OMIx1JLhtEIVi1zEjlA4/myNi9AmmSiwBGBvRCLVBEJhbOdwDY8j94n5K9CZZFGGbv4PDZzdEeYzmioCTjMvVMcLsEX+joYubKpSg5S1KIuoYSWp+0unvWbbx2Y+G59+irmv2KfY8YpfdOARCN6QLI1RcsoiC7awQpCSKWmr1N6LMOSBpL1xQf9y4KhXoGWn6jniyOYYq+g8U8G6Z6YFmkdNhownQc7kDp8QSxdBfO/+3oBI51IM9KBvuYTD+vChfq/3peSxO6KyfMakvzIXuT6Dw9dSvGYAIAm2akp9MGFaOYIANkFDO0glYmEh2C+39DSt+c8KxJEdSs4opIw+xFsBsqw+x9SD1vFPF+JYDlqWEg8gg1YCSSiXiiEUCNzSEQBEAYRmWZeAg6P8ikQt4Z/xKeJURoklTeAIxHiQzpBuaxrEK9aLd8r7DBBAC2nH9l6rnBd/4s8tDVNylA5NeSjcrM9aigvlOFXw0Ax9NDGU3yGE6M4kZKFVA9aXyLPYtUXolYLKrcSpLfmI6DZRGG2WuI5urJBXwUd467uwaTVPJdW8Qc3MpKOG2h+hw3X+fca0UuVkzz5gCAUbOaLSOA2U9EbcwuK1GrWcyzpe8BWRNjwqom9F32tTpkl5UXiyB7NyyLlEyXdi/z5s3D/PnzrWP9+vXD9u3bAQBSSsyfPx933303PvzwQ4wdOxZ33HEHRo0a1ZXVZErE8jLxGEwoxdhB4hUEsSThXdBH7SNkBEm6gzqjR+J/0XVpQo3xIiHn8xk7OopNMy7D0KameC8YwF5ZUGl9mdZHyHiwpyE+3LTmvz6DCZzzlXYvmK6lmHekk9+hDz/8EBdffDEee+wxAMBpp52G2267Dfvtt1/qNdOmTcODDz5oHRs7dixWrlyZSCulxNe//nU88cQTWL58Oc4444w9KruaYVmkOhm69MZonFEGBUAbLBAZI8hiDHsTdoVjxBCIjRmWx4nQCneJMAyiEE7KcAJVXqRbp/IGXTmSAjWUqPq7ynWq6IfoGk+FLT+6IvJECUhXSow8MqicATh6NgK5rIC9twsiQ5S6t3k9fqwM9bOQ9hiiDCORbOoxnrDCYu+kDGQRpnxgWaQ6OXx2s+nj3T1AjJdA6FkUCL+eJKFSSTNWuJTQ1+RddF5E+V2x78WrC2dEG7hnEOsUyF+x5w6vXYaskeYFsPbA1XoeiYT6yvUacUNrUf2QESfJtSYtyZPZS2FZpGS63CY7atQoPP300+Z7JhMHQ7755pvR1NSEX/3qVxg2bBhuuOEGnHLKKVi/fj169erV1VVlOpmE94l3xYOw0rpffPE7kx4MwkqbJnxYxhHP+a4wlPjQg6fezH3oLXlCepUpG2bPwLAFzd5z1qZ2+eDOm9lNhJQQBVZMFDq/p3znO9/B3//+dzzxxBMAgPPPPx9TpkzBb3/727zXnXrqqXjggQfM97q6Om+6xYsXQ6Ro+Ha37GqGZZHqRXtqpO0TQfc0sa9Lv8bkCyBQ14ZQ+ajFGsLRJET5OWV7KySsv5JMZnz13Pyv3bRBuKqL9koZdP/NkQGpe2qzW2w69xqz541UYU+NPYvKfx6DSl5SBcz4YilFZMSrqDvGdCTlIIsw5QXLInsJdPEjiNrDNUCQ+XBi0WApQ0eKMSZfVMlEeWmrW7X3SHdsEE7qv+76qPwRc/36hXJm08WXY8htt0ReqwBEKIFQ+A0mBOnKXNR4ooxxVkQPcp1JL+3rmL0PlkVKp8uNJjU1Nejfv3/iuJQSixcvxuzZs3HmmWcCAB588EH069cPv/71r3HBBRd0dVWZItBeJlZ4LeMzWNyPjYaf0pdDf/UKCZ7Vm/AbUNxy0soH2eS0u4wjxfLm5eVdvzS8hhP13It6XVwPot1EC1nMXkQ3u6GuW7cOTzzxBFauXImxY8cCAO655x6MHz8e69evx/Dhw1Ovra+v946ZlJdffhlNTU1YvXo1GhsbO6zsaoZlkepi+CPXIVWkdRdR+MJz6aRFyC00PBdMWC4YZbiwvA6IIYRc6xpnEt2PiBT85Uwxe6WUI29+OzKcWPohZTDRBjVt4HDPW1CNl2P4Mu+Y470ExN5DW6bwfiZ7HRwSg3FgWaS6GDG32WyZBcAyzCdwjRRpFGu896TJ58kCeIwoHmNJOe134dMXvD6/fOpXCpt/fDkO+fkt8cIb7YWU5tlDvFDMKfWy+bxs6LOle9DFoUajr91i/GK6F5ZFSqbLjSYbN27EgAEDUF9fj7Fjx+LGG2/EIYccgs2bN2P79u2YMGGCSVtfX48TTzwRK1asSBUOWltb0draar63tLR0ehsYD9S4of+fTxPujNJx6Aoy50xxIbRdC4Xvv0nSpARyuByNJdq7pFrYMDsemIdfHxvcALLYpsArYx4zER5SV1MwDBC9XIXcttU75I4h9fX1qK/fs50Fn3/+eTQ0NBijBQCMGzcODQ0NWLFiRV7DxbPPPou+fftiv/32w4knnogFCxagb9++5vynn36Kc889F7fffrt34r0nZVczHS2LACyPdDeZ2hwg9SbpgSXwC4/yOh9mDxQargmRlwkN2SWkKitUe4M7AxXdz0QSxbq9Ub1ddjkaS/LteVKJvPnt+B4PeXhhJHuGkSbBPC+/lSQJ3XcG5F2jYcsEff57VHWmkilBFmH2DlgWqT5kBhBZRGKI4xmQ1ylRp/EcS933BOnqlkLhrU2alKGtnIwlmmpb+Ljp4svN/6NIItECjShkl/0MrVBvEmYDeffdEEBsFFHPV4uqllGMx5q9F5ZFSiYonKTjGDt2LJYsWYInn3wS99xzD7Zv347jjz8eH3zwgYnf2a9fP+saGtvTx8KFC9HQ0GA+AwcO7NQ2MB58Ln6mQ/aM7D7fUHJcUEu65yNk4TSJTyjiMnwGkyI3bmc6jvVzHMHHWahJ8a6EUX+t98DJy2XdddUlbDHFod1QC30AYODAgdaYsnDhwj0uf/v27ZahQ9O3b9+849vEiRPx8MMP45lnnsEtt9yC1atX4+STT7YmwzNmzMDxxx+P008/vUPLrmY6QxYBWB7pTnLZAGFOIAxFwosD8C+YKmQ8kVLEYgTJM18Ir91BiPhTjgaTamfzv86yn6l56I7caMmUAMJo7xnpk0Hg+U6Obfkue5nsjZQiizDVD8si1UeQi5TbMmPPXan6IaG/CNXHp+eAY/yg3/N0FQnxJp/Y4tYH5WkwqXbevPwyyEBG7w7V0BIjCsLo/0ICQr1rgrw7gF+PovNxDSb8nPdOWBYpnS71NJk4caL5/5gxYzB+/HgMHToUDz74IMaNGwcAiZjsUsrUOO0AMGvWLFxGVuO3tLSwcNCVOI/Gu09JwnCSJy+yXCKRF72eCh7EwyWvLsOjVGdjSfeiDSdpXicuVNC0DGdWIvs9qFS3XaYDibSehdMA2LZtG3r37m0O5/My8W3i6bJ69WoAybENKDy+nXPOOeb/o0ePxjHHHINBgwbhd7/7Hc4880w89thjeOaZZ7BmzZq8ddidsquZzpBFAJZHupMwF0SGhyBUm3jHO0dYG7KrsEl6o299DG5aaX/PCRFt/C4kAuVBEJDrtNeJELF/gl0uDc0l443iVRrq+cB0PTpU1uAli+xFP55A8N6hhKzqjMRS7amkTkpgy9SrO63+TIVQgizCVD8si1QnemNu852cs+atWhluTiZ1HsZrwMGIH7Qs8v/E1NjoZOzy3EqyEr17efOK6Hd76E+bIsExVF5LRPeh3xvXWGIQcVqpvJ3MMnkBvHYDP+O9HpZFSqZLPU1c9tlnH4wZMwYbN240YUXc1RPvvfdeYpUFpb6+Hr1797Y+TNexcSbpeOkg71sFQTp2dxVFPvLsq+kt1/14kWwwKSfWz5lhe57kExA1KcYSI6wKNpgwipws7gMkxpN8RpOLLroI69aty/sZPXo0+vfvj3fffTdx/T/+8Y+845tLY2MjBg0ahI0bNwIAnnnmGbz55pvYb7/9UFNTg5qaaB3EWWedha9+9asA0GFlVzMdIYsALI90J5vOvUaF6FUeq8R7IwikMpak72VCkcpbRcrIcyVUHgWhVB/lXZBTxzQmbJf+KMOMEBLCqYOph5BsMCkjtnz3amyZFhs3pPZSBkwIaPNuBTL+UMWVR1ZhgwkDoCRZhNn7YFmk8nnthhmWrd01oJRKwivFRaboXFS5MoB3fuw1mPDeFmXDG1deho0zZ0RGj4z9HNN0JMJ5/tLzrNlgwgBgWWQ36PI9TSitra1Yt24dvvzlL2PIkCHo378/nnrqKXzxi18EALS1teG5557DokWLurOaTLF4vE70iol8xhFrcyoP3nMlCCDluFcJ42f9nBkYdkOzN8aqhEcgUH9dQeL1eSwUMDHFuJnujhtqnz590KdPn4Lpxo8fj507d2LVqlU47rjjAAB//etfsXPnThx//PFFl/fBBx9g27ZtZrP3mTNn4vvf/76VZsyYMWhubsbkyZM7tOxqhmWRKkEqJXegvviSEA8S7f0hPQIFNcDo70JGq34lNYaAGEs8HivUo2X9WT/Z4yYyXcOWaVdj8AM3AwBkCHvVsDKcGE8UAQAyPmYSCmz53lVdV2mm7OksWYSpDlgWqSIkGTbyLf4U8VDi25PTHKOGEepRQsUXx0hCi9JeCRK8oLCS2DhzBobd2GyeKySAXCSD0D1NpHovEkYVZWxjgxhDYVmkdLrU0+SKK67Ac889h82bN+Ovf/0rvvWtb6GlpQVTp06FEAKXXnopbrzxRixfvhyvvPIKpk2bhs997nP4zne+05XVZPYQd+sQfSxfeobRbLh2RqqhjK6akAH5sMGEyYdeIlzo00mMHDkSp556KqZPn46VK1di5cqVmD59OiZNmmRtxD5ixAgsX74cAPDxxx/jiiuuwPPPP48tW7bg2WefxeTJk9GnTx9885vfBBB5kYwePdr6AMDBBx+MIUOGlFT23gTLItWJNPtOCMgwiD7Sv8eJ8EwqTXglx2BilxGXY/Y8UWG5EmWQvyzmVB5bvneV7UFCkKF6F0IR7ZmnIW7ObDBhEnSzLMKUFyyLVCl6sahEvP8EXUCqwyUpLwIEsbHDgnoKBOQaNe81BhIyH3YNJlZeTEWy4ZrYe8kTMdS8C+77oN8bDrnGJGBZpGS61NPk73//O84991y8//77OPDAAzFu3DisXLkSgwYNAgBcddVV+Oyzz/CjH/0IH374IcaOHYs//OEP6NWrV1dWkymRjTNn4NBFzdaxN67evQ760J82Wd/3ZOB/8zL2MKlUNlybfH+GX98chdz6SXRu+HXNiTTrf8KCAeOhmMG/k4WDhx9+GBdffDEmTJgAADjttNNw++23W2nWr1+PnTt3AgAymQzWrl2LJUuWYMeOHWhsbMRJJ52EZcuWlTwmFlP23gTLItXJ5n+dhWG/uR5CSLR+FIXV292wSEMeXogen2tDLozWFmVbM5AQ6PG5Nuz6tA779tqFlh2fgxASvff7FB9/0gNBIFFXlwUAtGfjNUnrz5qzhy1juguf4WPQvT8FALz1b1dG3++/GVCeS/muY5hykEWY8oFlkerktQUzcMSMZrTvG+sx1l2/+/PToU1NyHwmUPMZkO0RKc5zdUDNp0CmFcjVR8eCNiDbEwiygMgCuR5Api06LwWwfi7PkSsVK4S5YtSsSA/y6sLo3OHXNEdGOL14GexVxKTAskjJCCmr6460tLSgoaEBO3fu5BieXUhHGU2A2HDiupx68RxnYwnDVA6d2WfrvP955OWoyaTvTQIA2Vwr/mvdLTx2MB0GyyNdz/Drm9G+r0SPIS0AgNfOmLfbeQ2672ZkekZGEAhg3313oeXDfYDPMug/+AN8+ElP1Ndm0aM2i7ZcBh993AMyFGjsExk+//cpHEKFYSoFlkWYaoVlka5nwauT8MyFx2PX7I6RB8Zc0YzW/YHGlVl8dkAGHx0s0GurxCf9BSCAsA444LUcWgZlIAMgrI8MKwAvKGSYSoJlkfKkW/c0YaqHPTGSJPK6ko0eDMN0IE5M+tQ0DMNUNL7VeLvLW//G3gIMw3QgLIswzF7B7FH/P2Y/23H5rf0ZGz4YhukgWBYpGTaaMAzDMFUNb3jGMAzDMEx3wrIIwzAMwzDdCcsipcNGE4ZhGKa64didDMMwDMN0JyyLMAzDMAzTnbAsUjJsNGEYhmGqm1yIgn6mOfZDZRiGYRimk2BZhGEYhmGY7oRlkZJhownDMAxT5RSxogK8ooJhGIZhmM6CZRGGYRiGYboTlkVKhY0mDMMwTHXDbqgMwzAMw3QnLIswDMMwDNOdsCxSMmw0YRiGYaqbUKLgiomQhQOGYRiGYToJlkUYhmEYhulOWBYpmaC7K8AwDMMwnYoMi/swDMMwDMN0Bp0gi9x111044ogj0Lt3b/Tu3Rvjx4/H73//e2/aCy64AEIILF68OG+ev/rVryCESHx27dpl0mSzWVx77bUYMmQIevbsiUMOOQTXXXcdwpBlKYZhGIYpWzpBFhk8eLBXbrjwwgtTr7njjjswcuRI9OzZE8OHD8eSJUsSaXbs2IELL7wQjY2N6NGjB0aOHInHH3+85CbvKexpwjAMw1Q37IbKMAzDMEx30gmyyEEHHYSbbroJhx56KADgwQcfxOmnn441a9Zg1KhRJt2jjz6Kv/71rxgwYEBR+fbu3Rvr16+3jvXo0cP8f9GiRfjFL36BBx98EKNGjcILL7yA733ve2hoaMAll1xSUhsYhmEYhukiOkEWWb16NXK5nPn+yiuv4JRTTsHZZ5/tTX/XXXdh1qxZuOeee3Dsscdi1apVmD59Ovbff39MnjwZANDW1oZTTjkFffv2xX/+53/ioIMOwrZt29CrV6+S6tYRsNGEYRiGqW7YDZVhGIZhmO6kE2QRrVzQLFiwAHfddRdWrlxpjCZvv/02LrroIjz55JP4xje+UVS+Qgj0798/9fzzzz+P008/3eQ3ePBg/Md//AdeeOGFkurPMAzDMEwXUoIs0tLSYh2ur69HfX19IvmBBx5ofb/pppswdOhQnHjiid7s//3f/x0XXHABzjnnHADAIYccgpUrV2LRokVGrrn//vvxf//v/8WKFStQW1sLABg0aFDB5nUGHJ6LYRiGqW5CCYRhgQ8bTRiGYRiG6SRKkEVaWlqsT2tra8Hsc7kcli5dik8++QTjx4+PigxDTJkyBVdeeaXleVKIjz/+GIMGDcJBBx2ESZMmYc2aNdb5L33pS/iv//ovbNiwAQDw8ssv4y9/+Qu+/vWvF10GwzAMwzBdTAmyyMCBA9HQ0GA+CxcuLJh9W1sbHnroIZx33nkQQnjTtLa2Wt6rANCzZ0+sWrUK7e3tAIDHHnsM48ePx4UXXoh+/fph9OjRuPHGGy2Plq6CPU0YhmGY6obDczEMwzAM052UIIsMHDjQOjx37lzMmzfPe8natWsxfvx47Nq1C/vuuy+WL1+Oww8/HEAURqumpgYXX3xx0dUcMWIEfvWrX2HMmDFoaWnBrbfeihNOOAEvv/wyDjvsMADA1VdfjZ07d2LEiBHIZDLI5XJYsGABzj333KLLYRiGYRimiylBFtm2bRt69+5tDvu8TFweffRR7NixA9OmTUtN87WvfQ333nsvzjjjDBx11FF48cUXcf/996O9vR3vv/8+GhsbsWnTJjzzzDP413/9Vzz++OPYuHEjLrzwQmSzWfzkJz8pqqkdBRtNGIZhmOomDAEU2NCMNy9lGIZhGKazKEEWKUVRMXz4cLz00kvYsWMHfvOb32Dq1Kl47rnn8Nlnn+HWW2/Ff//3f6eu9vQxbtw4jBs3znw/4YQTcNRRR+G2227Dz3/+cwDAsmXL8NBDD+HXv/41Ro0ahZdeegmXXnopBgwYgKlTpxZdFsMwDMMwXUgJskjv3r0tWaQY7rvvPkycODHvHmpz5szB9u3bMW7cOEgp0a9fP0ybNg0333wzMpmMqkKIvn374u6770Ymk8HRRx+N//N//g9++tOfstGEYRiGYToU9jRhGIZhGKY7KUEWKUVRUVdXZzaCP+aYY7B69WrceuutGDlyJN577z0cfPDBJm0ul8Pll1+OxYsXY8uWLUXlHwQBjj32WGzcuNEcu/LKKzFz5kx8+9vfBgCMGTMGb731FhYuXMhGE4ZhGIYpVzpRL/LWW2/h6aefxiOPPJI3Xc+ePXH//ffjl7/8Jd599100Njbi7rvvRq9evdCnTx8AQGNjI2pra40RBQBGjhyJ7du3o62tDXV1dbtVx92BjSYMwzBMdcNGE4ZhGIZhupMukkWklGhtbcWUKVPwL//yL9a5r33ta5gyZQq+973vlZTfSy+9hDFjxphjn376KYLA3ho1k8kgZK9dhmEYhilfOlEWeeCBB9C3b1984xvfKCp9bW0tDjroIADA0qVLMWnSJCNbnHDCCfj1r3+NMAzNsQ0bNqCxsbFLDSYAG00YhmGYaieUAAoM/rwRPMMwDMMwnUUnyCLXXHMNJk6ciIEDB+Kjjz7C0qVL8eyzz+KJJ57A5z//eXz+85+30tfW1qJ///4YPny4Ofbd734XX/jCF8wGr/Pnz8e4ceNw2GGHoaWlBT//+c/x0ksv4Y477jDXTJ48GQsWLMDBBx+MUaNGYc2aNWhqasJ5551XUv0ZhmEYhulCOkkvEoYhHnjgAUydOhU1NbaZYdasWXj77bexZMkSAJHxY9WqVRg7diw+/PBDNDU14ZVXXsGDDz5orvnhD3+I2267DZdccgl+/OMfY+PGjbjxxhtL2qOto2CjCcMwDFPVSBlCyvyrHwudZxiGYRiG2V06QxZ59913MWXKFLzzzjtoaGjAEUccgSeeeAKnnHJK0Xls3brV8hrZsWMHzj//fGzfvh0NDQ344he/iD/96U847rjjTJrbbrsNc+bMwY9+9CO89957GDBgAC644IIujzPOMAzDMEzxdJZe5Omnn8bWrVu9iyfeeecdbN261XzP5XK45ZZbsH79etTW1uKkk07CihUrMHjwYJNm4MCB+MMf/oAZM2bgiCOOwBe+8AVccskluPrqq0uu254ipKyumCQtLS1oaGjAzp07S960hmEYhulaOrPP1nn/837fRY3I78aZlW34rx1LeOxgOgyWRxiGYSoDlkWYaoVlEYZhmMqAZZHyhD1NGIZhmOomlwNELn8aWeA8wzAMwzDM7sKyCMMwDMMw3QnLIiUTFE7CMAzDMBWM3vCs0KcT+fDDDzFlyhQ0NDSgoaEBU6ZMwY4dO/JeM23aNAghrM+4ceO8aaWUmDhxIoQQePTRR61zgwcPTuQzc+bMDmoZwzAMwzAFKQNZhGEYhmGYvRiWRUqGPU0YhmGYqkaGIaTo3j1NvvOd7+Dvf/87nnjiCQDA+eefjylTpuC3v/1t3utOPfVUPPDAA+Z7XZ3fnXbx4sUQQqTmc91112H69Onm+7777ltK9RmGYRiG2QPKQRZhGIZhGGbvhWWR0mGjCcMwDFPdSAmgwIqJTlxRsW7dOjzxxBNYuXIlxo4dCwC45557MH78eKxfvx7Dhw9Pvba+vh79+/fPm//LL7+MpqYmrF69Go2Njd40vXr1KpgPwzAMwzCdRDfLIgzDMAzD7OWwLFIyHJ6LYRiGqW5CWdwH0SZp9NPa2rrHxT///PNoaGgwBhMAGDduHBoaGrBixYq81z777LPo27cvhg0bhunTp+O9996zzn/66ac499xzcfvtt+c1iixatAif//zn8U//9E9YsGAB2tra9qxRDMMwDMMUTwmyCMMwDMMwTIfDskjJsKcJwzAMU91ICaCAm6laUTFw4EDr8Ny5czFv3rw9Kn779u3o27dv4njfvn2xffv21OsmTpyIs88+G4MGDcLmzZsxZ84cnHzyyXjxxRdRX18PAJgxYwaOP/54nH766an5XHLJJTjqqKOw//77Y9WqVZg1axY2b96Me++9d4/axTAMwzBMkZQgizAMwzAMw3Q4LIuUTNl6mtx5550YMmQIevTogaOPPhp//vOfu7tKDMMwTAUiQ1nUBwC2bduGnTt3ms+sWbNS8503b15ig3X388ILLwCAd78RKWXefUjOOeccfOMb38Do0aMxefJk/P73v8eGDRvwu9/9DgDw2GOP4ZlnnsHixYvztn/GjBk48cQTccQRR+D73/8+fvGLX+C+++7DBx98UOjW7fWwLMIwDMN0BKXIIgxDYVmEYRiG6QhYFimdsjSaLFu2DJdeeilmz56NNWvW4Mtf/jImTpyIrVu3dnfVGIZhmEpDhsV9APTu3dv6aI8OHxdddBHWrVuX9zN69Gj0798f7777buL6f/zjH+jXr1/RzWhsbMSgQYOwceNGAMAzzzyDN998E/vttx9qampQUxM5j5511ln46le/mprPuHHjAABvvPFG0WXvjbAswjAMw3QYJcgiDKNhWYRhGIbpMFgWKZmyDM/V1NSEf/u3f8P3v/99AMDixYvx5JNP4q677sLChQuttK2trVbM+Z07dwKI4tIzDMMw5Y3uq2UnuoG253ZBIpc3TRbtJefbp08f9OnTp2C68ePHY+fOnVi1ahWOO+44AMBf//pX7Ny5E8cff3zR5X3wwQfYtm2b2ex95syZZpzUjBkzBs3NzZg8eXJqPmvWrAGA1E3jmYhSZBGA5RGGYZhKpZJlEaa6YVmEYRhm74BlkTJFlhmtra0yk8nIRx55xDp+8cUXy6985SuJ9HPnzpUA+MMf/vCHPxX82bZtW4ePJ5999pns379/0XXo37+//Oyzzzq8HlJKeeqpp8ojjjhCPv/88/L555+XY8aMkZMmTbLSDB8+3Ix9H330kbz88svlihUr5ObNm+Uf//hHOX78ePmFL3xBtrS0pJYDQC5fvtx8X7FihWxqapJr1qyRmzZtksuWLZMDBgyQp512Wqe0s1ooVRaRkuUR/vCHP/yp9E+1yyJMZcGyCH/4wx/+7H0flkXKi7LzNHn//feRy+USIUv69evn3TB31qxZuOyyy8z3HTt2YNCgQdi6dSsaGho6vb6dSUtLCwYOHIht27ahd+/e3V2dPaJa2lIt7QC4LeVItbQDKL4tUkp89NFHGDBgQIfXoUePHti8eTPa2tqKSl9XV4cePXp0eD0A4OGHH8bFF1+MCRMmAABOO+003H777Vaa9evXmxWBmUwGa9euxZIlS7Bjxw40NjbipJNOwrJly9CrV6+iy62vr8eyZcswf/58tLa2YtCgQZg+fTquuuqqjmtcFVKqLAJUrzyyN/ZL5U61tAPgtpQj1dIOgGURprJhWSRmb+yXKoFqaUu1tAPgtpQjLItUNmVnNNG4m+PKlA1z6+vrvTHnGxoaKvqHRdGx9auBamlLtbQD4LaUI9XSDqC4tnTmJK5Hjx5lMeAfcMABeOihh/KmkcQVt2fPnnjyySdLLkc67rxHHXUUVq5cWXI+TESxsghQ/fLI3tYvVQLV0g6A21KOVEs7AJZFmMqGZZGYva1fqhSqpS3V0g6A21KOsCxSmZTdRvB9+vRBJpNJrJ547733Stowl2EYhmEYZndgWYRhGIZhmO6EZRGGYRiG6V7KzmhSV1eHo48+Gk899ZR1/Kmnnippw1yGYRiGYZjdgWURhmEYhmG6E5ZFGIZhGKZ7KcvwXJdddhmmTJmCY445BuPHj8fdd9+NrVu34gc/+EHBa+vr6zF37lyvW2qlwW0pP6qlHQC3pRyplnYA1dUWZu9kT2QRoHp+A9XSDqB62lIt7QC4LeVItbQDqK62MHsnLItEVEs7AG5LOVIt7QC4LeVItbRjb0VINwB6mXDnnXfi5ptvxjvvvIPRo0ejubkZX/nKV7q7WgzDMAzD7CWwLMIwDMMwTHfCsgjDMAzDdA9lazRhGIZhGIZhGIZhGIZhGIZhGIbpSspuTxOGYRiGYRiGYRiGYRiGYRiGYZjugI0mDMMwDMMwDMMwDMMwDMMwDMMwYKMJwzAMwzAMwzAMwzAMwzAMwzAMADaaMAzDMAzDMAzDMAzDMAzDMAzDAKhCo8mdd96JIUOGoEePHjj66KPx5z//uburlJd58+ZBCGF9+vfvb85LKTFv3jwMGDAAPXv2xFe/+lW8+uqr3VjjmD/96U+YPHkyBgwYACEEHn30Uet8MXVvbW3Fj3/8Y/Tp0wf77LMPTjvtNPz973/vwlZEFGrLtGnTEs9p3LhxVppyaMvChQtx7LHHolevXujbty/OOOMMrF+/3kpTCc+lmHZUyjO56667cMQRR6B3797o3bs3xo8fj9///vfmfCU8D02htlTKM2GYzoZlka6DZZHy62NZFim/Z8KySPk9E4bpbFgW6TpYFim/PrZaZBGgeuQRlkXK63kwxVFVRpNly5bh0ksvxezZs7FmzRp8+ctfxsSJE7F169burlpeRo0ahXfeecd81q5da87dfPPNaGpqwu23347Vq1ejf//+OOWUU/DRRx91Y40jPvnkExx55JG4/fbbveeLqfull16K5cuXY+nSpfjLX/6Cjz/+GJMmTUIul+uqZgAo3BYAOPXUU63n9Pjjj1vny6Etzz33HC688EKsXLkSTz31FLLZLCZMmIBPPvnEpKmE51JMO4DKeCYHHXQQbrrpJrzwwgt44YUXcPLJJ+P00083AkAlPI9i2wJUxjNhmM6EZZGuhWWR8utjWRYpv2fCskj5PROG6UxYFulaWBYpvz62WmSRYtsClP9zYVmkvJ4HUySyijjuuOPkD37wA+vYiBEj5MyZM7upRoWZO3euPPLII73nwjCU/fv3lzfddJM5tmvXLtnQ0CB/8YtfdFENiwOAXL58ufleTN137Ngha2tr5dKlS02at99+WwZBIJ944okuq7uL2xYppZw6dao8/fTTU68p17a89957EoB87rnnpJSV+1zcdkhZuc9ESin3339/ee+991bs86DotkhZ2c+EYToKlkW6D5ZFyrMtLIuUVzs0LIuUZ1sYpiNgWaT7YFmkPNtSLbKIlNUlj7AsUp5tYWKqxtOkra0NL774IiZMmGAdnzBhAlasWNFNtSqOjRs3YsCAARgyZAi+/e1vY9OmTQCAzZs3Y/v27Vab6uvrceKJJ5Z9m4qp+4svvoj29nYrzYABAzB69OiybN+zzz6Lvn37YtiwYZg+fTree+89c65c27Jz504AwAEHHACgcp+L2w5NpT2TXC6HpUuX4pNPPsH48eMr9nkAybZoKu2ZMExHwrJIeVHJfWwaldjHsixSXu1gWaQ828IwHQXLIuVFJfexaVRiH1stsghQHfIIyyLl2RYmSU13V6CjeP/995HL5dCvXz/reL9+/bB9+/ZuqlVhxo4diyVLlmDYsGF49913ccMNN+D444/Hq6++aurta9Nbb73VHdUtmmLqvn37dtTV1WH//fdPpCm3ZzZx4kScffbZGDRoEDZv3ow5c+bg5JNPxosvvoj6+vqybIuUEpdddhm+9KUvYfTo0QAq87n42gFU1jNZu3Ytxo8fj127dmHffffF8uXLcfjhh5sBsZKeR1pbgMp6JgzTGbAsUl5U4piXj0rsY1kWKZ92sCxSfs+EYToDlkXKi0oc8/JRiX1stcgiQOXLIyyLlNfzYApTNUYTjRDC+i6lTBwrJyZOnGj+P2bMGIwfPx5Dhw7Fgw8+aDYKqrQ2UXan7uXYvnPOOcf8f/To0TjmmGMwaNAg/O53v8OZZ56Zel13tuWiiy7C3/72N/zlL39JnKuk55LWjkp6JsOHD8dLL72EHTt24De/+Q2mTp2K5557zpyvpOeR1pbDDz+8op4Jw3QmlTZusyySpBzbV4l9LMsiflgW2TNYFmGYwlTauM2ySJJybF8l9rHVIosAlS+PsCxSXs+DKUzVhOfq06cPMplMwir33nvvJayV5cw+++yDMWPGYOPGjejfvz8AVGSbiql7//790dbWhg8//DA1TbnS2NiIQYMGYePGjQDKry0//vGP8dhjj+GPf/wjDjroIHO80p5LWjt8lPMzqaurw6GHHopjjjkGCxcuxJFHHolbb7214p4HkN4WH+X8TBimM2BZpLyoxD62FMq9j2VZpLzawbJI+T0ThukMWBYpLyqxjy2Fcu9jq0UWAapDHmFZpLyeB1OYqjGa1NXV4eijj8ZTTz1lHX/qqadw/PHHd1OtSqe1tRXr1q1DY2MjhgwZgv79+1ttamtrw3PPPVf2bSqm7kcffTRqa2utNO+88w5eeeWVsm/fBx98gG3btqGxsRFA+bRFSomLLroIjzzyCJ555hkMGTLEOl8pz6VQO3yU6zPxIaVEa2trxTyPfOi2+KikZ8IwHQHLIuVFNfSx+SjXPpZlkfJ7Jj5YFinPtjDMnsKySHlRDX1sPsq1j60WWQSobnmEZZHybAtD6OCN5buVpUuXytraWnnffffJ1157TV566aVyn332kVu2bOnuqqVy+eWXy2effVZu2rRJrly5Uk6aNEn26tXL1Pmmm26SDQ0N8pFHHpFr166V5557rmxsbJQtLS3dXHMpP/roI7lmzRq5Zs0aCUA2NTXJNWvWyLfeektKWVzdf/CDH8iDDjpIPv300/K///u/5cknnyyPPPJImc1my6YtH330kbz88svlihUr5ObNm+Uf//hHOX78ePmFL3yh7Nrywx/+UDY0NMhnn31WvvPOO+bz6aefmjSV8FwKtaOSnsmsWbPkn/70J7l582b5t7/9TV5zzTUyCAL5hz/8QUpZGc+jmLZU0jNhmM6EZZGuhWWR8utjWRYpv2fCskj5PROG6UxYFulaWBYpvz62WmSRYtpSKc+FZZHyeh5McVSV0URKKe+44w45aNAgWVdXJ4866ij53HPPdXeV8nLOOefIxsZGWVtbKwcMGCDPPPNM+eqrr5rzYRjKuXPnyv79+8v6+nr5la98Ra5du7Ybaxzzxz/+UQJIfKZOnSqlLK7un332mbzooovkAQccIHv27CknTZokt27dWlZt+fTTT+WECRPkgQceKGtra+XBBx8sp06dmqhnObTF1wYA8oEHHjBpKuG5FGpHJT2T8847z/RJBx54oPznf/5nIxhIWRnPQ5OvLZX0TBims2FZpOtgWaT8+liWRcrvmbAsUn7PhGE6G5ZFug6WRcqvj60WWaSYtlTKc2FZpLyeB1McQkopd99PhWEYhmEYhmEYhmEYhmEYhmEYpjqomj1NGIZhGIZhGIZhGIZhGIZhGIZh9gQ2mjAMwzAMwzAMwzAMwzAMwzAMw4CNJgzDMAzDMAzDMAzDMAzDMAzDMADYaMIwDMMwDMMwDMMwDMMwDMMwDAOAjSYMwzAMwzAMwzAMwzAMwzAMwzAA2GjCMAzDMAzDMAzDMAzDMAzDMAwDgI0mDMMwDMMwDMMwDMMwDMMwDMMwANhowjAMwzAMwzAMwzAMwzAMwzAMA4CNJgzDMAzDMAzDMAzDMAzDMAzDMADYaMIwDMMwDMMwDMMwDMMwDMMwDAOAjSYMwzAMwzAMwzAMwzAMwzAMwzAAgP8HZghnGaGk1RIAAAAASUVORK5CYII=", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "simus = [simu_zos,simu_so,simu_thetao]\n", - "names = [\"zos\",\"so\",\"thetao\"]\n", - "#units = [\"m\",\"°C\",\"g/kg\"]\n", - "fig, axes = plt.subplots(3, 3, figsize=(20, 10))\n", - "\n", - "for i, simu in enumerate(simus):\n", - " axes[0, i].plot(simu.pca.explained_variance_ratio_*100,\"ko\", markersize =4)\n", - " axes[0, i].set_title(f\"Explained Variance Ratio - {names[i]}\")\n", - "\n", - " axes[1, i].plot(simu.components[:, 0], linestyle = \"dashed\", color=\"black\", label=\"1st comp\")\n", - " axes[1, i].plot(simu.components[:, 1], linestyle = \"dashed\", color=\"grey\", label=\"2nd comp\")\n", - " axes[1, i].plot(simu.components[:, 2], linestyle = \"dashed\", color=\"lightgrey\", label=\"3rd comp\")\n", - " axes[1, i].set_title(f\"Components - {names[i]}\")\n", - " axes[1, i].legend()\n", - " \n", - " if simu.z_size is not None : \n", - " im = axes[2, i].pcolor(simu.getPC(0)[0])\n", - " plt.colorbar(im, ax=axes[2, i])#,label=units[i])\n", - " axes[2, i].set_title(f\"1st PC of the surface - {names[i]}\")\n", - " else:\n", - " im = axes[2, i].pcolor(simu.getPC(0))\n", - " plt.colorbar(im, ax=axes[2, i])#,label=units[i])\n", - " axes[2, i].set_title(f\"1st PC - {names[i]}\")\n", - " \n", - "fig.suptitle(\"PCA INFO\")\n", - "plt.show()" - ] - }, - { - "cell_type": "code", - "execution_count": 7, - "id": "70a99a62-b471-475d-b33d-62cfbbdd3919", - "metadata": { - "tags": [] - }, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "RMSE compilated for zos\n", - "RMSE compilated for so\n", - "RMSE compilated for thetao\n" - ] - } - ], - "source": [ - "n = len(simu_zos.pca.explained_variance_ratio_)\n", - "rec_zos, rmseV_zos, rmseM_zos = simu_zos.rmseOfPCA(n)\n", - "print(\"RMSE compilated for zos\")\n", - "n = len(simu_so.pca.explained_variance_ratio_)\n", - "rec_so, rmseV_so, rmseM_so = simu_so.rmseOfPCA(n)\n", - "print(\"RMSE compilated for so\")\n", - "n = len(simu_thetao.pca.explained_variance_ratio_)\n", - "rec_thetao, rmseV_thetao, rmseM_thetao = simu_thetao.rmseOfPCA(n)\n", - "print(\"RMSE compilated for thetao\")" - ] - }, - { - "cell_type": "code", - "execution_count": 8, - "id": "21b87f1a-f0bd-4b23-837d-871d30ea1881", - "metadata": { - "tags": [] - }, - "outputs": [ - { - "data": { - "image/png": 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", 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" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "values = [rmseV_zos,rmseV_so,rmseV_thetao]\n", - "maps = [rmseM_zos,rmseM_so,rmseM_thetao]\n", - "names = [\"zos\",\"so\",\"thetao\"]\n", - "\n", - "fig, axes = plt.subplots(2, 3, figsize=(20, 10))\n", - "\n", - "for i in range(len(axes[0])):\n", - " axes[0, i].plot(values[i],linestyle = \"dashed\",color=\"black\", markersize =4)\n", - " axes[0, i].set_title(f\"Average rmse values - {names[i]}\")\n", - "\n", - " if len(np.shape(maps[i]))==2: \n", - " im = axes[1, i].pcolor(maps[i])\n", - " plt.colorbar(im, ax=axes[1, i])\n", - " axes[1, i].set_title(f\"Mean rmse map - {names[i]}\")\n", - " else:\n", - " im = axes[1, i].pcolor(np.nanmean(maps[i],axis=0))\n", - " plt.colorbar(im, ax=axes[1, i])\n", - " axes[1, i].set_title(f\"Average rmse map - {names[i]}\")\n", - " axes[0, i].plot(np.nanmean(values[i],axis=1),linewidth=1.5,color=\"red\", markersize =4)\n", - " \n", - "fig.suptitle(\"PCA EVALUATION - 1st COMP\")\n", - "plt.show()" - ] - }, - { - "cell_type": "code", - "execution_count": 9, - "id": "34ef76a9-0be3-4016-bdab-3b1545b27b5a", - "metadata": { - "tags": [] - }, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "zos to dictionnary\n", - "so to dictionnary\n", - "thetao to dictionnary\n" - ] - } - ], - "source": [ - "zos_dico = simu_zos.makeDico()\n", - "print(\"zos to dictionnary\")\n", - "so_dico = simu_so.makeDico()\n", - "print(\"so to dictionnary\")\n", - "thetao_dico = simu_thetao.makeDico()\n", - "print(\"thetao to dictionnary\")" - ] - }, - { - "cell_type": "code", - "execution_count": 10, - "id": "13b18529-489d-461f-892e-1278c7c51da2", - "metadata": { - "tags": [] - }, - "outputs": [], - "source": [ - "f = \"/data/mtissot/test_Forecast/simu_prepared/\"\n", - "if not os.path.exists(f):\n", - " os.makedirs(f)\n", - "\n", - "with open(f + 'pca_so', 'wb') as file:\n", - " pickle.dump(simu_so.pca, file)\n", - "with open(f + 'pca_thetao', 'wb') as file:\n", - " pickle.dump(simu_thetao.pca, file)\n", - "with open(f + 'pca_zos', 'wb') as file:\n", - " pickle.dump(simu_zos.pca, file)\n", - "\n", - "np.savez(f + \"so\", **so_dico)\n", - "np.savez(f + \"thetao\", **thetao_dico)\n", - "np.savez(f + \"zos\", **zos_dico)\n" - ] - }, - { - "cell_type": "markdown", - "id": "28f4f73c", - "metadata": {}, - "source": [ - "# **FORECAST**" - ] - }, - { - "cell_type": "code", - "execution_count": 11, - "id": "6555545e-45e1-40b8-aba6-6fe412d5375e", - "metadata": { - "tags": [] - }, - "outputs": [], - "source": [ - "f = \"/data/mtissot/test_Forecast/simu_prepared/\"\n", - "\n", - "df_zos,infos_zos = load_ts(f,\"zos\")\n", - "df_so,infos_so = load_ts(f,\"so\")\n", - "df_thetao,infos_thetao = load_ts(f,\"thetao\")\n", - "\n", - "random.seed(20)\n", - "\n", - "ts_zos = Predictions(\"zos\",df_zos,infos_zos) \n", - "ts_so = Predictions(\"so\",df_so,infos_so) \n", - "ts_thetao = Predictions(\"thetao\",df_thetao,infos_thetao) " - ] - }, - { - "cell_type": "code", - "execution_count": 12, - "id": "b2ba3f2f-28d5-4228-9521-5eabf1c86ba1", - "metadata": { - "tags": [] - }, - "outputs": [ - { - "data": { - "image/png": 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", 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", 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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "\n" - ] - } - ], - "source": [ - "comp,train_len,steps=1,len(ts_zos),30#,20#len(ts_zos),30\n", - "\n", - "hat_zos, std_zos, metrics_zos = ts_zos.forecast_ts(comp,train_len,steps)\n", - "hat_so, std_so, metrics_so = ts_so.forecast_ts(comp,train_len,steps)\n", - "hat_thetao, std_thetao, metrics_thetao = ts_thetao.forecast_ts(comp,train_len,steps)\n", - "\n", - "ts_zos.show(comp,hat_zos,std_zos,train_len)\n", - "ts_so.show(comp,hat_so,std_so,train_len,color=\"tab:green\")\n", - "ts_thetao.show(comp,hat_thetao,std_thetao,train_len,color=\"tab:red\")" - ] - }, - { - "cell_type": "code", - "execution_count": 13, - "id": "cd3c4c10-5347-4e8a-9ff8-4828de4c05af", - "metadata": { - "tags": [] - }, - "outputs": [], - "source": [ - "hat_zos, hat_std_zos, metrics = ts_zos.Forecast(train_len,steps)\n", - "hat_so, hat_std_so, metrics = ts_so.Forecast(train_len,steps)\n", - "hat_thetao, hat_std_thetao, metrics = ts_thetao.Forecast(train_len,steps)" - ] - }, - { - "cell_type": "code", - "execution_count": 14, - "id": "7693890b-2ffd-4917-91d8-84c8c3b27996", - "metadata": { - "tags": [] - }, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "zos reconstructed with one comp\n", - "so reconstructed with one comp\n", - "thetao reconstructed with one comp\n" - ] - } - ], - "source": [ - "predictions_zos1 = ts_zos.reconstruct(hat_zos,1)\n", - "print(\"zos reconstructed with one comp\")\n", - "predictions_so1 = ts_so.reconstruct(hat_so,1)\n", - "print(\"so reconstructed with one comp\")\n", - "predictions_thetao1 = ts_thetao.reconstruct(hat_thetao,1)\n", - "print(\"thetao reconstructed with one comp\")" - ] - }, - { - "cell_type": "code", - "execution_count": 15, - "id": "34d1ef79-dc20-4bd1-89df-0e3e15d00d2e", - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "zos reconstructed with two comp\n", - "so reconstructed with two comp\n", - "thetao reconstructed with two comp\n" - ] - } - ], - "source": [ - "predictions_zos2 = ts_zos.reconstruct(hat_zos,2)\n", - "print(\"zos reconstructed with two comp\")\n", - "predictions_so2 = ts_so.reconstruct(hat_so,2)\n", - "print(\"so reconstructed with two comp\")\n", - "predictions_thetao2 = ts_thetao.reconstruct(hat_thetao,2)\n", - "print(\"thetao reconstructed with two comp\")" - ] - }, - { - "cell_type": "code", - "execution_count": 16, - "id": "b19c1271-c8e9-4eb7-9b85-da1d5a23812d", - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "zos reconstructed with all comp\n", - "so reconstructed with all comp\n", - "thetao reconstructed with all comp\n" - ] - } - ], - "source": [ - "n = np.shape(ts_zos.info[\"ts\"])[1]\n", - "predictions_zos = ts_zos.reconstruct(hat_zos,n)\n", - "print(\"zos reconstructed with all comp\")\n", - "n = np.shape(ts_so.info[\"ts\"])[1]\n", - "predictions_so = ts_so.reconstruct(hat_so,n)\n", - "print(\"so reconstructed with all comp\")\n", - "n = np.shape(ts_thetao.info[\"ts\"])[1]\n", - "predictions_thetao = ts_thetao.reconstruct(hat_thetao,n)\n", - "print(\"thetao reconstructed with all comp\")" - ] - }, - { - "cell_type": "code", - "execution_count": 17, - "id": "33f8ebc1-91ac-441c-a812-cb9117648201", - "metadata": { - "tags": [] - }, - "outputs": [ - { - "data": { - "image/png": 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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "maps = [predictions_zos,predictions_so,predictions_thetao]\n", - "names = [\"zos\",\"so\",\"thetao\"]\n", - "\n", - "fig, axes = plt.subplots(1,len(maps), figsize=(20,4))\n", - "\n", - "for i, simu in enumerate(maps):\n", - " if len(np.shape(simu)) > 3 : \n", - " im = axes[i].pcolor(simu[0,0])\n", - " axes[i].set_title(f\"Surface {names[i]}\")\n", - " else:\n", - " im = axes[i].pcolor(simu[0])\n", - " axes[i].set_title(f\"{names[i]}\")\n", - " plt.colorbar(im, ax=axes[i])\n" - ] - }, - { - "cell_type": "code", - "execution_count": 18, - "id": "b2b2cc9a-e807-41f4-a258-09959dbcf814", - "metadata": {}, - "outputs": [], - "source": [ - "#predictions_zos2 = np.load(\"/data/mtissot/simus_predicted/zos.npy\")\n", - "#predictions_so2 = np.load(\"/data/mtissot/simus_predicted/so.npy\")\n", - "#predictions_thetao2 = np.load(\"/data/mtissot/simus_predicted/thetao.npy\")" - ] - }, - { - "cell_type": "markdown", - "id": "67009952-cb97-42fa-83d4-a2a83e7b6875", - "metadata": {}, - "source": [ - "# **EVALUATE ERROR**" - ] - }, - { - "cell_type": "code", - "execution_count": 19, - "id": "61748a04-1f66-4ac9-b928-f305c6677fdc", - "metadata": { - "tags": [] - }, - "outputs": [], - "source": [ - "import importlib\n", - "import jumper\n", - "importlib.reload(p1)\n", - "from jumper import Predictions, Simulation, load_ts" - ] - }, - { - "cell_type": "code", - "execution_count": 20, - "id": "77bdfb3a-61b4-4f29-ae35-37555d044e78", - "metadata": { - "tags": [] - }, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "zos loaded\n", - "so loaded\n", - "thetao loaded\n", - "\n", - "zos prepared\n", - "so prepared\n", - "thetao prepared\n" - ] - } - ], - "source": [ - "start2,end2 = 25,70+30#start,end+steps\n", - "id_ = \"106\"\n", - "ye = False\n", - "path =\"/scratchu/mtissot/SIMUp6Y\"\n", - "simu_zos2 = Simulation(path=path,start=start2,end=end2,ye=ye,term=\"zos\") \n", - "print(\"zos loaded\")\n", - "simu_so2 = Simulation(path=path,start=start2,end=end2,ye=ye,term=\"so\") \n", - "print(\"so loaded\")\n", - "simu_thetao2 = Simulation(path=path,start=start2,end=end2,ye=ye,term=\"thetao\") \n", - "print(\"thetao loaded\")\n", - "\n", - "#REMTTRE BIEN GET DATA APRES return grid[:1] => return grid\n", - "simu_zos2.prepare(stand=False) \n", - "print(\"\\nzos prepared\")\n", - "simu_so2.prepare(stand=False) \n", - "print(\"so prepared\")\n", - "simu_thetao2.prepare(stand=False) \n", - "print(\"thetao prepared\")" - ] - }, - { - "cell_type": "code", - "execution_count": 21, - "id": "b544aef2-efb9-45f3-bbca-0ddff445b860", - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "" - ] - }, - "execution_count": 21, - "metadata": {}, - "output_type": "execute_result" - }, - { - "data": { - "image/png": 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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "fig, axes = plt.subplots(1,3, figsize=(20,4))\n", - "\n", - "axes[0].plot(np.nanmean(predictions_zos1,axis=(1,2)),label=\"pred1\")\n", - "axes[0].plot(np.nanmean(predictions_zos2,axis=(1,2)),label=\"pred2\")\n", - "axes[0].plot(np.nanmean(predictions_zos,axis=(1,2)),label=\"predAll\")\n", - "axes[0].plot(np.nanmean(simu_zos2.simulation[:],axis=(1,2)),label=\"ref\")\n", - "axes[0].axvline(train_len, color=\"grey\",linewidth=0.7)\n", - "axes[0].legend()\n", - "\n", - "axes[1].plot(np.nanmean(predictions_so1,axis=(1,2,3)),label=\"pred1\")\n", - "axes[1].plot(np.nanmean(predictions_so2,axis=(1,2,3)),label=\"pred2\")\n", - "axes[1].plot(np.nanmean(predictions_so,axis=(1,2,3)),label=\"predAll\")\n", - "axes[1].plot(np.nanmean(simu_so2.simulation[:],axis=(1,2,3)),label=\"ref\")\n", - "axes[1].axvline(train_len, color=\"grey\",linewidth=0.7)\n", - "axes[1].legend()\n", - "\n", - "axes[2].plot(np.nanmean(predictions_thetao1,axis=(1,2,3)),label=\"pred1\")\n", - "axes[2].plot(np.nanmean(predictions_thetao2,axis=(1,2,3)),label=\"pred2\")\n", - "axes[2].plot(np.nanmean(predictions_thetao,axis=(1,2,3)),label=\"predAll\")\n", - "axes[2].plot(np.nanmean(simu_thetao2.simulation[:],axis=(1,2,3)),label=\"ref\")\n", - "axes[2].axvline(train_len, color=\"grey\",linewidth=0.7)\n", - "axes[2].legend()" - ] - }, - { - "cell_type": "code", - "execution_count": 22, - "id": "6b735a24-34e4-422f-b71f-c8daf65d8cfb", - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "PCA applied on zos\n", - "PCA applied on so\n", - "PCA applied on thetao\n" - ] - } - ], - "source": [ - "simu_zos2.applyPCA()\n", - "print(\"PCA applied on zos\")\n", - "simu_so2.applyPCA()\n", - "print(\"PCA applied on so\")\n", - "simu_thetao2.applyPCA()\n", - "print(\"PCA applied on thetao\")" - ] - }, - { - "cell_type": "code", - "execution_count": 23, - "id": "ef1fe78c-1c1d-472e-9f55-3a77a063a133", - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": 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- "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "simus = [simu_zos2,simu_so2,simu_thetao2]\n", - "names = [\"zos\",\"so\",\"thetao\"]\n", - "#units = [\"m\",\"°C\",\"g/kg\"]\n", - "fig, axes = plt.subplots(3, 3, figsize=(22, 12))\n", - "\n", - "for i, simu in enumerate(simus):\n", - " axes[0, i].plot(simu.pca.explained_variance_ratio_*100,\"ko\", markersize =4)\n", - " axes[0, i].set_title(f\"Explained Variance Ratio - {names[i]}\")\n", - "\n", - " axes[1, i].plot(simu.components[:, 0], linestyle = \"dashed\", color=\"black\", label=\"1st comp\")\n", - " axes[1, i].plot(simu.components[:, 1], linestyle = \"dashed\", color=\"grey\", label=\"2nd comp\")\n", - " axes[1, i].plot(simu.components[:, 2], linestyle = \"dashed\", color=\"lightgrey\", label=\"3rd comp\")\n", - " axes[1, i].set_title(f\"Components - {names[i]}\")\n", - " axes[1, i].legend()\n", - " \n", - " if simu.z_size is not None : \n", - " im = axes[2, i].pcolor(simu.getPC(0)[0])\n", - " plt.colorbar(im, ax=axes[2, i])#,label=units[i])\n", - " axes[2, i].set_title(f\"1st PC of the surface - {names[i]}\")\n", - " else:\n", - " im = axes[2, i].pcolor(simu.getPC(0))\n", - " plt.colorbar(im, ax=axes[2, i])#,label=units[i])\n", - " axes[2, i].set_title(f\"1st PC - {names[i]}\")\n", - " \n", - "fig.suptitle(\"PCA INFO\")\n", - "plt.show()" - ] - }, - { - "cell_type": "code", - "execution_count": 24, - "id": "bab23295-e5e0-4338-9eed-bf34f5a6d59f", - "metadata": {}, - "outputs": [], - "source": [ - "def getRmseV(s,p,steps):\n", - " n = np.product(s.shape) - np.nansum(np.isnan(s.simulation[0]))\n", - " c = np.sqrt(np.nansum(np.nansum((s.simulation[-steps:]-p[-steps:])**2,axis=-1),axis=-1)/n)\n", - " return c# * 2 * s.desc[\"std\"]\n", - "\n", - "def rmseMap(s,p,window):\n", - " t = s.len\n", - " return np.sqrt(np.sum((s.simulation[-window:]-p[-window:])**2,axis=0)/t) #* 2 * s.desc[\"std\"]" - ] - }, - { - "cell_type": "code", - "execution_count": 25, - "id": "e99f5e6a-9388-46a1-b758-0013ad56e0c8", - "metadata": { - "tags": [] - }, - "outputs": [], - "source": [ - "rmseV_zos2 = getRmseV(simu_zos2,predictions_zos,30)\n", - "rmseV_so2 = getRmseV(simu_so2,predictions_so,30)\n", - "rmseV_thetao2 = getRmseV(simu_thetao2,predictions_thetao,30)\n", - "\n", - "rmseM_zos2 = rmseMap(simu_zos2,predictions_zos,3)\n", - "rmseM_so2 = rmseMap(simu_so2,predictions_so,3)\n", - "rmseM_thetao2 = rmseMap(simu_thetao2,predictions_thetao,3)" - ] - }, - { - "cell_type": "code", - "execution_count": 26, - "id": "e9f84432-e9cc-4991-b93a-bffadad7b37d", - "metadata": { - "tags": [] - }, - "outputs": [ - { - "data": { - "image/png": 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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "values = [rmseV_zos2, rmseV_so2, rmseV_thetao2]\n", - "maps = [rmseM_zos2, rmseM_so2, rmseM_thetao2]\n", - "names = [\"zos\", \"so\", \"thetao\"]\n", - "\n", - "fig, axes = plt.subplots(2, 3, figsize=(22, 10))\n", - "\n", - "for i in range(len(axes[0])):\n", - " axes[0, i].plot(values[i], linestyle=\"dashed\", color=\"black\", markersize=4)\n", - " #axes[0, i].axvline(train_len,color=\"black\",alpha=0.5,linewidth=0.6,label='train limit')\n", - " #axes[0, i].legend()\n", - " axes[0, i].set_title(f\"Average RMSE values - {names[i]}\")\n", - "\n", - " if len(np.shape(maps[i])) > 2:\n", - " axes[0, i].plot(np.nanmean(values[i], axis=1), linewidth=1.5, color=\"red\", markersize=4)\n", - " im = axes[1, i].pcolor(np.nanmean(maps[i], axis=0))\n", - " plt.colorbar(im, ax=axes[1, i])\n", - " axes[1, i].set_title(f\"Average RMSE map - {names[i]}\")\n", - " else:\n", - " im = axes[1, i].pcolor(maps[i])\n", - " plt.colorbar(im, ax=axes[1, i])\n", - " axes[1, i].set_title(f\"Mean RMSE map on test - {names[i]}\")\n", - "\n", - "fig.suptitle(\"PREDICTIONS EVALUATION\")\n", - "plt.show()" - ] - }, - { - "cell_type": "markdown", - "id": "76b75d95-9065-4eeb-a137-990e48c31b6c", - "metadata": {}, - "source": [ - "# **SAVE PREDICTIONS**" - ] - }, - { - "cell_type": "code", - "execution_count": 28, - "id": "5c8a1db7-705f-4498-a8de-74f268a5b29b", - "metadata": { - "tags": [] - }, - "outputs": [], - "source": [ - "#np.save(\"/gpfswork/rech/omr/uen17sn/NewSpinUp/datasets/simu_SU/pred_zos.npy\", predictions_zos)\n", - "#np.save(\"/gpfswork/rech/omr/uen17sn/NewSpinUp/datasets/simu_SU/pred_so.npy\", predictions_so)\n", - "#np.save(\"/gpfswork/rech/omr/uen17sn/NewSpinUp/datasets/simu_SU/pred_thetao.npy\", predictions_thetao)" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "c728db0e-0aa1-4507-a2da-3afec9f03192", - "metadata": {}, - "outputs": [], - "source": [] - } - ], - "metadata": { - "kernelspec": { - "display_name": "Python 3 (ipykernel)", - "language": "python", - "name": "python3" - }, - "language_info": { - "codemirror_mode": { - "name": "ipython", - "version": 3 - }, - "file_extension": ".py", - "mimetype": "text/x-python", - "name": "python", - "nbconvert_exporter": "python", - "pygments_lexer": "ipython3", - "version": "3.9.18" - } - }, - "nbformat": 4, - "nbformat_minor": 5 -} diff --git a/.ipynb_checkpoints/Restart-checkpoint.ipynb b/.ipynb_checkpoints/Restart-checkpoint.ipynb deleted file mode 100644 index 3a27a90..0000000 --- a/.ipynb_checkpoints/Restart-checkpoint.ipynb +++ /dev/null @@ -1,742 +0,0 @@ -{ - "cells": [ - { - "cell_type": "code", - "execution_count": 1, - "id": "b7cde80b-3b01-42d6-9267-b61603c7bcd6", - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "" - ] - }, - "execution_count": 1, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "import numpy as np\n", - "import xarray as xr\n", - "import sys\n", - "import matplotlib.pyplot as plt\n", - "import densite\n", - "import restart\n", - "\n", - "import importlib\n", - "importlib.reload(restart)" - ] - }, - { - "cell_type": "markdown", - "id": "f334bcdc", - "metadata": {}, - "source": [ - "# **Load files**" - ] - }, - { - "cell_type": "code", - "execution_count": 2, - "id": "076cd3a8-8f49-44ac-b9a8-6c1cf46546bf", - "metadata": {}, - "outputs": [], - "source": [ - "#Should be calculated in the update_e3tm function\n", - "# TO DO :\n", - "# - get deptht from e3t et ssh\n", - "# - e3T vs e3T updated probleme sur le mask bathy \n", - "# - Mauvais calcul de la densité : pas les bonnes unités\n", - "# - Regulariser ou non ? \n", - "# - resultats bizarres vitesses " - ] - }, - { - "cell_type": "markdown", - "id": "668a13a0-f33b-41cf-906f-9e1d76cb2c6b", - "metadata": {}, - "source": [ - "### 1.1 - Predictions" - ] - }, - { - "cell_type": "code", - "execution_count": 3, - "id": "b2f0abb7", - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "(30, 331, 360)\n", - "(30, 75, 331, 360)\n", - "(30, 75, 331, 360)\n" - ] - } - ], - "source": [ - "zos_new = np.load(\"/data/mtissot/simus_predicted/zos.npy\") #or ssh sea surface height t*y*x\n", - "so_new = np.load(\"/data/mtissot/simus_predicted/so.npy\") #salinity t*z*y*x\n", - "thetao_new = np.load(\"/data/mtissot/simus_predicted/thetao.npy\") #temperature t*z*y*x\n", - "\n", - "print(np.shape(zos_new))\n", - "print(np.shape(so_new))\n", - "print(np.shape(thetao_new))" - ] - }, - { - "cell_type": "markdown", - "id": "b83df7c1-caf3-4a26-b444-1b2f1197eee9", - "metadata": {}, - "source": [ - "### 1.2 - Maskdataset" - ] - }, - { - "cell_type": "code", - "execution_count": 4, - "id": "5330d8fe-f870-4c03-81f0-201a67ba4f8a", - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "features : ['e1f', 'e1t', 'e1u', 'e1v', 'e2f', 'e2t', 'e2u', 'e2v', 'e3f_0', 'e3t_0', 'e3t_1d', 'e3u_0', 'e3uw_0', 'e3v_0', 'e3vw_0', 'e3w_0', 'e3w_1d', 'ff_f', 'ff_t', 'fmask', 'gdept_0', 'gdept_1d', 'gdepw_0', 'gdepw_1d', 'glamf', 'glamt', 'glamu', 'glamv', 'gphif', 'gphit', 'gphiu', 'gphiv', 'mbathy', 'misf', 'nav_lev', 'time_counter', 'tmask', 'tmaskutil', 'umask', 'umaskutil', 'vmask', 'vmaskutil', 'gridx', 'gridy']\n" - ] - } - ], - "source": [ - "MASKdataset = xr.open_dataset('/thredds/idris/work/ues27zx/eORCA1.4.2_mesh_mask_modJD.nc',decode_times=False) \n", - "print(\"features : \", list(MASKdataset.keys()))" - ] - }, - { - "cell_type": "markdown", - "id": "32880490-c594-4be2-8250-4ef5dc281c79", - "metadata": {}, - "source": [ - "### 1.3 - Restart file" - ] - }, - { - "cell_type": "code", - "execution_count": 5, - "id": "c781a029-0af4-4088-9e77-3417f504737e", - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "x slice : slice(38, 57, None)\n", - "y slice : slice(154, 168, None)\n", - "\n", - "features : ['xx', 'yy', 'kt', 'ndastp', 'adatrj', 'ntime', 'fwfisf_par_b', 'isf_hc_par_b', 'isf_sc_par_b', 'nn_fsbc', 'ssu_m', 'ssv_m', 'sst_m', 'sss_m', 'ssh_m', 'e3t_m', 'frq_m', 'rnf_b', 'rnf_hc_b', 'rnf_sc_b', 'utau_b', 'vtau_b', 'qns_b', 'emp_b', 'sfx_b', 'en', 'avt_k', 'avm_k', 'dissl', 'ub2_b', 'vb2_b', 'un_bf', 'vn_bf', 'sbc_hc_b', 'sbc_sc_b', 'qsr_hc_b', 'fraqsr_1lev', 'frc_v', 'frc_t', 'frc_s', 'surf_ini', 'ssh_ini', 'e3t_ini', 'tmask_ini', 'hc_loc_ini', 'sc_loc_ini', 'rdt', 'sshb', 'ub', 'vb', 'tb', 'sb', 'sshn', 'un', 'vn', 'tn', 'sn', 'rhop']\n" - ] - } - ], - "source": [ - "restarts_file = \"/thredds/idris/work/ues27zx/Restarts/\"\n", - "restart_name = \"OCE_CM65v420-LR-CdL-pi-01_19141231_restart_0142.nc\" #pour chaque fichier de restart \n", - "Restart = xr.open_dataset(restarts_file+restart_name,decode_times=False)\n", - "\n", - "x_slice,y_slice = restart.getXYslice(Restart)\n", - "\n", - "print(\"x slice : \",x_slice)\n", - "print(\"y slice : \",y_slice)\n", - "print(\"\\nfeatures : \", list(Restart.keys()))" - ] - }, - { - "cell_type": "markdown", - "id": "2b7d7555-e00f-4bbe-baf7-a9991e90b61b", - "metadata": {}, - "source": [ - "# **Update one restart file**" - ] - }, - { - "cell_type": "markdown", - "id": "c001c03b-3fe9-4827-a50b-2e23563d5bb4", - "metadata": {}, - "source": [ - "### 2.1 - zos, so and Thetao update" - ] - }, - { - "cell_type": "code", - "execution_count": 7, - "id": "77d71cfc-9258-4072-bd5b-03ca3dc2b939", - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "" - ] - }, - "execution_count": 7, - "metadata": {}, - "output_type": "execute_result" - }, - { - "data": { - "image/png": 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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "fig, axes = plt.subplots(1,3, figsize=(14,4))\n", - "a = axes[0].pcolor(Restart[\"sshn\"][0])\n", - "axes[0].set_title('zos')\n", - "fig.colorbar(a, ax=axes[0])\n", - "a = axes[1].pcolor(Restart[\"sn\"][0,0])\n", - "axes[1].set_title('so')\n", - "fig.colorbar(a, ax=axes[1])\n", - "a = axes[2].pcolor(Restart[\"tn\"][0,0])\n", - "axes[2].set_title('thetao')\n", - "fig.colorbar(a, ax=axes[2])" - ] - }, - { - "cell_type": "code", - "execution_count": 8, - "id": "b8f54ae6-e464-4420-8ddd-c8d86ed3f340", - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "sn shape : (1, 75, 14, 19)\n", - "tn shape : (1, 75, 14, 19)\n", - "sshn shape : (1, 14, 19)\n", - "sss_m shape : (1, 14, 19)\n", - "sss_t shape : (1, 14, 19)\n" - ] - } - ], - "source": [ - "restart.update_pred(Restart,zos_new,so_new,thetao_new)\n", - "\n", - "print(\"sn shape : \",np.shape(Restart[\"sn\"]))\n", - "print(\"tn shape : \",np.shape(Restart[\"tn\"]))\n", - "print(\"sshn shape : \",np.shape(Restart[\"sshn\"]))\n", - "print(\"sss_m shape : \",np.shape(Restart[\"sss_m\"]))\n", - "print(\"sss_t shape : \",np.shape(Restart[\"sst_m\"]))" - ] - }, - { - "cell_type": "code", - "execution_count": 9, - "id": "d31b170a-3bd1-43e9-b68c-f231121ace77", - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": 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", 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" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "fig, axes = plt.subplots(1,3, figsize=(14,4))\n", - "a = axes[0].pcolor(Restart[\"sshn\"][0])\n", - "axes[0].set_title('zos')\n", - "fig.colorbar(a, ax=axes[0]);\n", - "a = axes[1].pcolor(Restart[\"sn\"][0,0])\n", - "axes[1].set_title('so')\n", - "fig.colorbar(a, ax=axes[1]);\n", - "a = axes[2].pcolor(Restart[\"tn\"][0,0])\n", - "axes[2].set_title('thetao')\n", - "fig.colorbar(a, ax=axes[2]);" - ] - }, - { - "cell_type": "markdown", - "id": "38beced5-4a40-4a3a-b129-ddada0035a61", - "metadata": {}, - "source": [ - "### 2.2 - e3t and deptht" - ] - }, - { - "cell_type": "code", - "execution_count": 10, - "id": "92753560-4c83-41b8-a7a8-bec594826af1", - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "deptht shape : (1, 75, 14, 19)\n" - ] - } - ], - "source": [ - "array = xr.open_dataset(\"/scratchu/mtissot/SIMUp6Y/CM65v420-LR-CdL-pi-01_18500101_19491231_1M_so.nc.YAVG.nc\" , decode_times=False)\n", - "deptht_new = np.tile(array.deptht.values, (1,360,331,1)).transpose(0,3,2,1)[:,:,y_slice,x_slice] #thickness of all 75 levels\n", - "print(\"deptht shape : \", np.shape(deptht_new))" - ] - }, - { - "cell_type": "code", - "execution_count": 11, - "id": "d6322d5e-5a38-41a4-bf2c-782b0890e9b4", - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "Text(0.5, 1.0, 'e3t_m')" - ] - }, - "execution_count": 11, - "metadata": {}, - "output_type": "execute_result" - }, - { - "data": { - "image/png": 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T3d7bvHkz4uLioNfrkZSUhCNHjsiKnUmOiEijuh7rJfeQ606bZfektrYWU6ZMQWpqKk6dOoXly5dj4cKF2LNnT7e6ly9fxpIlS5Camtrtvd27d2PRokVYsWIFTp06hdTUVGRmZqKurs7t2DlcSUSkUaIHD2gWPVhdeafNsntSVFQEk8mEgoICAMDo0aNRXV2NdevWYcaMGc56drsdTz/9NN58800cOXIE3377rct51q9fj+effx4vvPACAKCgoABlZWXYsmUL8vPz3YqFPTkiIo1S0pOzWq0ux82bVytVVVWF9PR0l7KMjAxUV1ejo6PDWbZy5UoMHToUzz//fLdztLe348SJE93Ok56ejqNHj7odC5McEZEfiomJcdmw2t2ekTssFguioqJcyqKiotDZ2YnGxkYAwFdffYVt27ahuLi4x3M0NjbCbrf3eJ6uB/+7g8OVREQapeTZlVeuXHHZ61PtfT0FwTWurucaC4KAa9eu4ZlnnkFxcTGGDBki+zy3lt0JkxwRkUYp2WonLCzsjhtaK2EwGLr1thoaGhAUFITIyEicOXMGly5dQlZWlvN9h+PG9ulBQUE4d+4cYmJiEBgY2ON5bu3d3QmHK4mINKqrJyf36G0pKSkoLy93Kdu/fz+Sk5MRHByMUaNG4fTp06ipqXEeP/3pTzFp0iTU1NQgJiYGISEhSEpK6nae8vJyTJw40e1Y2JMjItIoBwJk7yrgyS4Ed9os22QyITc3F1evXkVJSQkAICcnB4WFhTCbzZg3bx6qqqqwbds27Nq1CwCg1+uRkJDgco1BgwYBgEu52WzGnDlzkJycjJSUFGzduhV1dXXIyclxO3YmOSIijbKLAuwye2Zy6wN33ix7+/btqK+vd7l3LS4uDqWlpVi8eDE2bdoEo9GIDRs2uNw+4I6ZM2eiqakJK1euRH19PRISElBaWorY2Fi3zyGIXrbLqdVqRXh4OJJ+tgpBwXqPziGo8BUp7dEHdEjXuZO2wcpHkvV/dyg+B/kApaNTXvAbwhGsrL3Sf48AICroEnR2tKH6d6+iublZlXmwrt+TvzgyHboB8j4cW0sHtqTuVS0Wb8eeHBGRRnFncGlMckREGiV68CxK0c+22mGSIyLSKG6aKo1JjohIoxyi/OFHhxfMsd5NTHJERBrFncGl+ddXS0REfoU9OSIijXJ4sNWO3PpaxyRHRKRRd+tmcC1jkiMi0ijOyUljkiMi0igHPLgZnMOVRESkBaIHc3KinyU5/+q3EhGRX2FPjohIo/jsSmlMckREGsWFJ9KY5IiINIo9OWlMckREGsWbwaXJ7rdWVlYiKysLRqMRgiBg3759Lu+Looi8vDwYjUb069cPaWlpOHPmjFrxEhHRP3T15OQe/kR2kmttbcXYsWNRWFjY4/tr167F+vXrUVhYiOPHj8NgMOCxxx7DtWvXFAdLREQkh+zhyszMTGRmZvb4niiKKCgowIoVKzB9+nQAwI4dOxAVFYWdO3fixRdfVBYtERE5cU5OmqrLbGpra2GxWJCenu4s0+l0ePTRR3H06NEe29hsNlitVpeDiIikcbhSmqpJzmKxAACioqJcyqOiopzv3So/Px/h4eHOIyYmRs2QiIh8FpOctF5ZXSkIrh+iKIrdyrrk5ubCbDY7X1utVsTExCCgEwjow++F4ksrPIH+W4fSCCAGKj5F31P4OSr99xzQqaw93SAq/E0jKNzNWun1vZUI+asl/WxjcHWTnMFgAHCjRxcdHe0sb2ho6Na766LT6aDT6dQMg4iICIDKw5VxcXEwGAwoLy93lrW3t6OiogITJ05U81JERH6Pw5XSZPfkWlpacOHCBefr2tpa1NTUICIiAiaTCYsWLcLq1asxcuRIjBw5EqtXr0b//v3x1FNPqRo4EZG/4+pKabKTXHV1NSZNmuR83TWflp2dje3bt+M//uM/8N1332H+/Pn4+9//jgkTJmD//v0YOHCgelETERGTnBtkJ7m0tDSI4u2nLgVBQF5eHvLy8pTERUREEpjkpPnomiMiIt8nigJEmUlLbn2t8689F4iIyK+wJ0dEpFHchUAakxwRkUZxTk4akxwRkUZxTk4akxwRkUaxJyeNSY6ISKPYk5PG1ZVEROSz2JMjItIo0YPhSn/ryTHJERFplAjgDg+gum0bf8IkR0SkUQ4IEHif3B0xyRERaRQXnkhjkiMi0iiHKEDgLQR3xNWVRER0R5WVlcjKyoLRaIQgCNi3b59km4qKCiQlJUGv1yM+Ph5FRUUu7+/duxfJyckYNGgQQkNDMW7cOPzmN79xqZOXlwdBEFwOg8EgK3b25IiINEoUPVh44sHKk9bWVowdOxZz587FjBkzJOvX1tZiypQpmDdvHj788EN89dVXmD9/PoYOHepsHxERgRUrVmDUqFEICQnBZ599hrlz52LYsGHIyMhwnmvMmDH44osvnK8DAwNlxc4kR0SkUXdrTi4zMxOZmZlu1y8qKoLJZEJBQQEAYPTo0aiursa6deucSS4tLc2lzcsvv4wdO3bgyy+/dElyQUFBsntvN2OS82GCo2+vL3rBYHhAh8ITeMH0hdLPUbArvL68P5xvcxJlzTv7KftGtBqUfyNDrnne1t7eO/8YlCQ5q9XqUq7T6aDT6VSJq6qqCunp6S5lGRkZ2LZtGzo6OhAcHHxLTCIOHjyIc+fOYc2aNS7vnT9/HkajETqdDhMmTMDq1asRHx/vdixe8GuIiIg80fXsSrkHAMTExCA8PNx55OfnqxaXxWJBVFSUS1lUVBQ6OzvR2NjoLGtubsaAAQMQEhKCqVOnYuPGjXjsscec70+YMAElJSUoKytDcXExLBYLJk6ciKamJrdjYU+OiEijlMzJXblyBWFhYc5ytXpxXQTBtYcp/uPCN5cPHDgQNTU1aGlpwYEDB2A2mxEfH+8cyrx5iDQxMREpKSkYMWIEduzYAbPZ7FYcTHJERH4oLCzMJcmpyWAwwGKxuJQ1NDQgKCgIkZGRzrKAgADce++9AIBx48bh7NmzyM/P7zZf1yU0NBSJiYk4f/6827FwuJKISKNu9OQEmUfvx5WSkoLy8nKXsv379yM5ObnbfNzNRFGEzWa77fs2mw1nz55FdHS027GwJ0dEpFF3a3VlS0sLLly44HxdW1uLmpoaREREwGQyITc3F1evXkVJSQkAICcnB4WFhTCbzZg3bx6qqqqwbds27Nq1y3mO/Px8JCcnY8SIEWhvb0dpaSlKSkqwZcsWZ50lS5YgKysLJpMJDQ0NWLVqFaxWK7Kzs92OnUmOiEijRMhfuOpJR666uhqTJk1yvu6aD8vOzsb27dtRX1+Puro65/txcXEoLS3F4sWLsWnTJhiNRmzYsMHlHrvW1lbMnz8f33zzDfr164dRo0bhww8/xMyZM511vvnmG8yePRuNjY0YOnQoHnroIRw7dgyxsbFuxy6I4t3ovLrParUiPDwcD0xbhaBgfV+HQwqocguBwpXfQmffXl8NPnELgULav4WgDf+zdTmam5tVmQfr+j0ZX7Icgf3l/Z60X2/DxWdXqxaLt2NPjohIq+5WV07DuPCEiIh8FntyRERa5cHCE/jZLgRMckREGnW3HtCsZUxyREQaxU1TpTHJERFplSjIH35kkiMiIi3gcKU0rq4kIiKfxZ4cEZFW8T45Sar35Do7O/Hqq68iLi4O/fr1Q3x8PFauXAmHo4938CQi8jHyH87swS0HGqd6T27NmjUoKirCjh07MGbMGFRXV2Pu3LkIDw/Hyy+/rPbliIj8m5/1zORSPclVVVXh8ccfx9SpUwEAw4cPx65du1BdXa32pYiI/BpvIZCm+nDlww8/jAMHDuDrr78GAPz5z3/Gl19+iSlTpvRY32azwWq1uhxEROQG0cPDj6jek1u6dCmam5sxatQoBAYGwm634+2338bs2bN7rJ+fn48333xT7TCIiIjUT3K7d+/Ghx9+iJ07d2LMmDGoqanBokWLYDQae9zoLjc317k3EXBjC4mYmBi1w6I+IHjBWiPF28R4wciOI0hZEAFK/3RX4TP4LlLZoFGLwl8JAe3K2gNAW5Tnn6Ojrbe6TwLkf4O84If6LlI9yb3yyitYtmwZZs2aBQBITEzE5cuXkZ+f32OS0+l00Ol0aodBROT7eAuBJNWT3PXr1xEQ4PpXW2BgIG8hICJSG5OcJNWTXFZWFt5++22YTCaMGTMGp06dwvr16/Hzn/9c7UsREfk3PrtSkupJbuPGjXjttdcwf/58NDQ0wGg04sUXX8Trr7+u9qWIiPwan10pTfUkN3DgQBQUFKCgoEDtUxMREcnCZ1cSEWkV5+QkMckREWkV5+QkMckREWmUIN445LbxJ0xyRERaxeFKSUxyRERaxeFKSdwZnIiIfBZ7ckREWsXhSklMckREWsUkJ4lJjohIq5jkJDHJERFpFReeSGKSIyLSKN4nJ42rK4mIyGexJ0dEpFWck5PEnhwREfks9uSIiDRKgAdzcr0SifdikiMi0iqurpTEJEc+TXAoay8qHdBX4fdJQKfCSRSFMVhNymc1bIOVtQ9uUdb+O4Nd2QkAINDzpg5R4Q/i7XBOThLn5IiIyGexJ0dEpFXsyUlikiMi0ijeDC6NSY6ISKvYk5PEOTkiIq0SPTxkqqysRFZWFoxGIwRBwL59+yTbVFRUICkpCXq9HvHx8SgqKnJ5f+/evUhOTsagQYMQGhqKcePG4Te/+U2382zevBlxcXHQ6/VISkrCkSNHZMXOJEdEpFFdw5VyD7laW1sxduxYFBYWulW/trYWU6ZMQWpqKk6dOoXly5dj4cKF2LNnj7NOREQEVqxYgaqqKvz3f/835s6di7lz56KsrMxZZ/fu3Vi0aBFWrFiBU6dOITU1FZmZmairq3M7dg5XEhHRHWVmZiIzM9Pt+kVFRTCZTCgoKAAAjB49GtXV1Vi3bh1mzJgBAEhLS3Np8/LLL2PHjh348ssvkZGRAQBYv349nn/+ebzwwgsAgIKCApSVlWHLli3Iz893Kxb25IiItKrrZnC5BwCr1epy2Gw21cKqqqpCenq6S1lGRgaqq6vR0dHR/csQRRw4cADnzp3DI488AgBob2/HiRMnup0nPT0dR48edTsWJjkiIq1SMCcXExOD8PBw5+Fuz8gdFosFUVFRLmVRUVHo7OxEY2Ojs6y5uRkDBgxASEgIpk6dio0bN+Kxxx4DADQ2NsJut/d4HovF4nYsHK4kItIoJbcQXLlyBWFhYc5ynU6nYmSAILg+akcUxW7lAwcORE1NDVpaWnDgwAGYzWbEx8e7DGX2dJ5by+6ESY6ISKsU3EIQFhbmkuTUZDAYuvW2GhoaEBQUhMjISGdZQEAA7r33XgDAuHHjcPbsWeTn5yMtLQ1DhgxBYGBgj+e5tXd3JxyuJCIiVaWkpKC8vNylbP/+/UhOTkZwcPBt24mi6JwbDAkJQVJSUrfzlJeXY+LEiW7Hwp4cEZFWeXJLgAe3ELS0tODChQvO17W1taipqUFERARMJhNyc3Nx9epVlJSUAABycnJQWFgIs9mMefPmoaqqCtu2bcOuXbuc58jPz0dycjJGjBiB9vZ2lJaWoqSkBFu2bHHWMZvNmDNnDpKTk5GSkoKtW7eirq4OOTk5bsfOJEdEpFV36Ykn1dXVmDRpkvO12WwGAGRnZ2P79u2or693uXctLi4OpaWlWLx4MTZt2gSj0YgNGzY4bx8Abtx7N3/+fHzzzTfo168fRo0ahQ8//BAzZ8501pk5cyaampqwcuVK1NfXIyEhAaWlpYiNjXU7dkHsmg30ElarFeHh4Xhg2ioEBev7Ohzyc96w1U5f84qtdlqVte/zrXa+a8OVxa+hublZlXmwrt+T8StWI1Av7/ekva0NF99erlos3o49OSIijeIDmqX1ysKTq1ev4plnnkFkZCT69++PcePG4cSJE71xKSIiottSvSf397//HT/60Y8wadIk/Nd//ReGDRuG//u//8OgQYPUvhQREdEdqZ7k1qxZg5iYGHzwwQfOsuHDh6t9GSIi4lY7klQfrvzkk0+QnJyMn/3sZxg2bBjGjx+P4uLi29a32WzdnqFGRETS7tYuBFqmepK7ePEitmzZgpEjR6KsrAw5OTlYuHCh8/6JW+Xn57s8Py0mJkbtkIiIfFcv7yWndaoPVzocDiQnJ2P16tUAgPHjx+PMmTPYsmULnn322W71c3NznfdcADeWxjLRkbcQHMraiwqWnXe5PlTZ36K2Qcqub1fjTh6Ft1Io/Rz1/0/5N6JtiIIfhs5eupeEw5WSVE9y0dHR+MEPfuBSNnr0aJfN8m6m0+lUfzAoEZE/4C0E0lQfrvzRj36Ec+fOuZR9/fXXsu5QJyIiUoPqSW7x4sU4duwYVq9ejQsXLmDnzp3YunUrFixYoPaliIj8m4L95PyF6knugQcewMcff4xdu3YhISEBb731FgoKCvD000+rfSkiIr/G1ZXSeuWxXj/5yU/wk5/8pDdOTUREXbjwRBKfXUlEpFVMcpKY5IiINIqrK6VxZ3AiIvJZ7MkREWkVhyslMckREWkVk5wkJjkiIo3inJw0JjkiIq1iT04SkxwRkUaxJyeNqyuJiMhnsSdHRKRVHK6UxCRHRKRVTHKSmOSIiDRKgPz9aHtp+1avxSRHRKRV7MlJYpIjItIorq6UxtWVRETks9iTIyLSKg5XSmKSI58m9vFYhSNI+TR/cIuy30r2EGUxtEco/63oCOtU1D7gr8HKAlDhF3tAhM3zxtcVtJXiZ0lLLiY5IiKN4pycNCY5IiKt4nClJCY5IiKNYk9OGldXEhGRz2JPjohIqzhcKYlJjohIozhcKY1JjohIq9iTk8QkR0SkVUxykpjkiIg0isOV0ri6koiIfBZ7ckREWsXhSknsyRERaZQgih4dclVWViIrKwtGoxGCIGDfvn2SbSoqKpCUlAS9Xo/4+HgUFRW5vF9cXIzU1FQMHjwYgwcPxuTJk/GnP/3JpU5eXh4EQXA5DAaDrNiZ5IiItEr08JCptbUVY8eORWFhoVv1a2trMWXKFKSmpuLUqVNYvnw5Fi5ciD179jjrHD58GLNnz8ahQ4dQVVUFk8mE9PR0XL161eVcY8aMQX19vfM4ffq0rNg5XElEpFF3a+FJZmYmMjMz3a5fVFQEk8mEgoICAMDo0aNRXV2NdevWYcaMGQCA3/72ty5tiouL8bvf/Q4HDhzAs88+6ywPCgqS3Xu7GXtyRERadZd6cnJVVVUhPT3dpSwjIwPV1dXo6Ojosc3169fR0dGBiIgIl/Lz58/DaDQiLi4Os2bNwsWLF2XFwiRHROSHrFary2GzqbfnncViQVRUlEtZVFQUOjs70djY2GObZcuW4Xvf+x4mT57sLJswYQJKSkpQVlaG4uJiWCwWTJw4EU1NTW7H0utJLj8/H4IgYNGiRb19KSIiv9I1XCn3AICYmBiEh4c7j/z8fHVjE1w36xX/seDl1nIAWLt2LXbt2oW9e/dCr9c7yzMzMzFjxgwkJiZi8uTJ+PzzzwEAO3bscDuOXp2TO378OLZu3Yr777+/Ny9DROSfFNxCcOXKFYSFhTmLdTqdamEZDAZYLBaXsoaGBgQFBSEyMtKlfN26dVi9ejW++OILyVwRGhqKxMREnD9/3u1Yeq0n19LSgqeffhrFxcUYPHhwb12GiMhvKenJhYWFuRxqJrmUlBSUl5e7lO3fvx/JyckIDg52lr377rt466238Ic//AHJycmS57XZbDh79iyio6PdjqXXktyCBQswdepUl/HVnthstm5jw0RE5Ia7tPCkpaUFNTU1qKmpAXDjFoGamhrU1dUBAHJzc11WRObk5ODy5cswm804e/Ysfv3rX2Pbtm1YsmSJs87atWvx6quv4te//jWGDx8Oi8UCi8WClpYWZ50lS5agoqICtbW1+OMf/4gnn3wSVqsV2dnZbsfeK0nuo48+wsmTJ90a483Pz3cZF46JiemNkIiIfJInvTi5qqurMX78eIwfPx4AYDabMX78eLz++usAgPr6emfCA4C4uDiUlpbi8OHDGDduHN566y1s2LDBefsAAGzevBnt7e148sknER0d7TzWrVvnrPPNN99g9uzZuO+++zB9+nSEhITg2LFjiI2NdTt21efkrly5gpdffhn79+93mUC8ndzcXJjNZudrq9XKREc+w6HCv7D2sO4T9bLaK5wtOPrkOulKEgJ7WGwgx8/OzlbU/q/HvqeoPQB8/KMtHrdtuebAw4oj6DtpaWnOhSM92b59e7eyRx99FCdPnrxtm0uXLkle96OPPnInvDtSPcmdOHECDQ0NSEpKcpbZ7XZUVlaisLAQNpsNgYGBzvd0Op2qY8FERH5DFG8cctv4EdWT3L/8y790e+zK3LlzMWrUKCxdutQlwRERkee41Y401ZPcwIEDkZCQ4FIWGhqKyMjIbuVERKQAdyGQxGdXEhFplOC4ccht40/uSpI7fPjw3bgMEZF/YU9OEp9dSUREPovDlUREGsWFJ9KY5IiItIq3EEhikiMi0ij25KQxyRERaRUXnkhikiMi0ij25KRxdSUREfks9uSIiLSKC08kMckREWkUhyulMckREWkVF55IYpIjItIo9uSkMckREWmVQ7xxyG3jR7i6koiIfBZ7ckREWsU5OUlMckREGiXAgzm5XonEezHJERFpFe+Tk8QkR15NVDprrPDP1k69shO03KP87+a2ocq2cj40bZ2i9tMXL1HU3htU/updxee4riQ5BPTOdtxcXSmNC0+IiMhnsSdHRKRVXHgiiUmOiEijBFGEIHMYVW59rWOSIyLSKsc/Drlt/AiTHBGRRrEnJ41JjohIqzgnJ4mrK4mIyGexJ0dEpFW8GVwSkxwRkUbxZnBpTHJERFrFnpwkJjkiIo0SHDcOuW38CZMcEZFWsScniasriYjIZ7EnR0SkVbxPThKTHBGRRvGJJ9KY5IiItIpzcpJUn5PLz8/HAw88gIEDB2LYsGF44okncO7cObUvQ0REIv75kGZ3D//KceonuYqKCixYsADHjh1DeXk5Ojs7kZ6ejtbWVrUvRUTk17qGK+Ue/kT14co//OEPLq8/+OADDBs2DCdOnMAjjzyi9uWIiIhuq9dvIWhubgYARERE9Pi+zWaD1Wp1OYiIyA0i/jkv5/Yh/zKVlZXIysqC0WiEIAjYt2+fZJuKigokJSVBr9cjPj4eRUVFLu8XFxcjNTUVgwcPxuDBgzF58mT86U9/6naezZs3Iy4uDnq9HklJSThy5Iis2Hs1yYmiCLPZjIcffhgJCQk91snPz0d4eLjziImJ6c2QiIh8h+wE58FCFQCtra0YO3YsCgsL3apfW1uLKVOmIDU1FadOncLy5cuxcOFC7Nmzx1nn8OHDmD17Ng4dOoSqqiqYTCakp6fj6tWrzjq7d+/GokWLsGLFCpw6dQqpqanIzMxEXV2d27ELoth7A7QLFizA559/ji+//BL33HNPj3VsNhtsNpvztdVqRUxMDB6YtgpBwfreCo00QlT4Z5gjSFDU/tuRytp39lf+z+vw7HcVtQ+Gsq9h+uJfKmpPQGdHG47vexXNzc0ICwtTfD6r1Yrw8HD8OHEpggJ18mKx23Dw9BqPYxEEAR9//DGeeOKJ29ZZunQpPvnkE5w9e9ZZlpOTgz//+c+oqqrqsY3dbsfgwYNRWFiIZ599FgAwYcIE/PCHP8SWLVuc9UaPHo0nnngC+fn5bsXbaz25f//3f8cnn3yCQ4cO3TbBAYBOp0NYWJjLQURE0pQsPLl1mujmzoZSVVVVSE9PdynLyMhAdXU1Ojo6emxz/fp1dHR0OKe22tvbceLEiW7nSU9Px9GjR92ORfUkJ4oiXnrpJezduxcHDx5EXFyc2pcgIiJA0XBlTEyMy1SRuz0jd1gsFkRFRbmURUVFobOzE42NjT22WbZsGb73ve9h8uTJAIDGxkbY7fYez2OxWNyORfXVlQsWLMDOnTvx+9//HgMHDnQGEx4ejn79+ql9OSIi8sCVK1dcRs50OnnDnlIEwXWYvGtm7NZyAFi7di127dqFw4cPQ693nabq6Tw9neN2VE9yXWOnaWlpLuUffPABnnvuObUvR0TkvxQ88aQ3p4cMBkO33lZDQwOCgoIQGRnpUr5u3TqsXr0aX3zxBe6//35n+ZAhQxAYGNjjeW7t3d2J6kmuF9exEBHRzbz0sV4pKSn49NNPXcr279+P5ORkBAcHO8veffddrFq1CmVlZUhOTnapHxISgqSkJJSXl2PatGnO8vLycjz++ONux8JnVxIRaZUDkL141oNNU1taWnDhwgXn69raWtTU1CAiIgImkwm5ubm4evUqSkpKANxYSVlYWAiz2Yx58+ahqqoK27Ztw65du5znWLt2LV577TXs3LkTw4cPd/bYBgwYgAEDBgAAzGYz5syZg+TkZKSkpGDr1q2oq6tDTk6O27EzyRERadTd2oWguroakyZNcr42m80AgOzsbGzfvh319fUu967FxcWhtLQUixcvxqZNm2A0GrFhwwbMmDHDWWfz5s1ob2/Hk08+6XKtN954A3l5eQCAmTNnoqmpCStXrkR9fT0SEhJQWlqK2NhYt2NnkiMi0qq7NFyZlpZ2x6mo7du3dyt79NFHcfLkydu2uXTpklvXnj9/PubPn+9W3Z5wZ3AiIvJZ7MkREWmVQwQEmT0zh38tDmSSIyLSKi9dXelNmOSIiDTLkwcuM8kREZEWsCcniUmOiEirHCJk98z8bE6OqyuJiMhnsSdHRKRVouPGIbeNH2GSIyLSKs7JSWKSIyLSKs7JSWKSIyLSKvbkJDHJERFplQgPklyvROK1uLqSiIh8FntytyH2cfoXfGABlBqfoSNY7mZZt7QPVHZ92xC7ovYXphcpCwBAAAYqav/wwhcVx0BeisOVkpjkiIi0yuGA7F1QHT7wF7QMTHJERFrFnpwkJjkiIq1ikpPEJEdEpFW8T04SV1cSEZHPYk+OiEijRNEBUeazKOXW1zomOSIirRJF+cOPnJMjIiJNED2Yk2OSIyIiTXA45D85gsOVRESkCezJSeLqSiIi8lnsyRERaZTocECUOVzJ1ZVERKQNHK6UxCRHRKRVDhEQmOTuhEmOiEirRBGydyFgkiMiIi0QHSJEmT050c+SXK+trty8eTPi4uKg1+uRlJSEI0eO9NaliIiIetQrSW737t1YtGgRVqxYgVOnTiE1NRWZmZmoq6vrjcsREfkn0eHZ4Ud6JcmtX78ezz//PF544QWMHj0aBQUFiImJwZYtW3rjckREfkl0iB4d/kT1Obn29nacOHECy5YtcylPT0/H0aNHu9W32Wyw2WzO183NzQAAe0eb2qHJIvbxbfJyn9TjjdT4DEVRUNTeEajs+o7vlH0jrNeUfyMD5C4Rv0VnH/9bon/+PlN7PqxTtMnumXWiQ9UYvJ3qSa6xsRF2ux1RUVEu5VFRUbBYLN3q5+fn48033+xWfvKzVWqHRiTfTmXNI5eoE4Yyr/Z1APQP165dQ3h4uOLzhISEwGAw4EtLqUftDQYDQkJCFMehBb22ulIQXP8CF0WxWxkA5Obmwmw2O19/++23iI2NRV1dnSo/DP7KarUiJiYGV65cQVhYWF+Ho1n8HJXjZ3jj99+1a9dgNBpVOZ9er0dtbS3a29s9ah8SEgK9Xq9KLN5O9SQ3ZMgQBAYGduu1NTQ0dOvdAYBOp4NOp+tWHh4e7rf/INQUFhbGz1EF/ByV8/fPUO0/2vV6vd8kKiVUn3kKCQlBUlISysvLXcrLy8sxceJEtS9HRER0W70yXGk2mzFnzhwkJycjJSUFW7duRV1dHXJycnrjckRERD3qlSQ3c+ZMNDU1YeXKlaivr0dCQgJKS0sRGxsr2Van0+GNN97ocQiT3MfPUR38HJXjZ0h9SRD97RkvRETkN7hpKhER+SwmOSIi8llMckRE5LOY5IiIyGd5XZLjFj3K5OXlQRAEl8NgMPR1WF6tsrISWVlZMBqNEAQB+/btc3lfFEXk5eXBaDSiX79+SEtLw5kzZ/omWC8m9Tk+99xz3X42H3roob4JlvyGVyU5btGjjjFjxqC+vt55nD59uq9D8mqtra0YO3YsCgsLe3x/7dq1WL9+PQoLC3H8+HEYDAY89thjuHbt2l2O1LtJfY4A8K//+q8uP5ulpZ49e5HIbaIXefDBB8WcnByXslGjRonLli3ro4i054033hDHjh3b12FoFgDx448/dr52OByiwWAQ33nnHWdZW1ubGB4eLhYVFfVBhNpw6+coiqKYnZ0tPv74430SD/kvr+nJdW3Rk56e7lJ+uy166PbOnz8Po9GIuLg4zJo1CxcvXuzrkDSrtrYWFovF5edSp9Ph0Ucf5c+lBw4fPoxhw4bh+9//PubNm4eGhoa+Dol8nNckOblb9FDPJkyYgJKSEpSVlaG4uBgWiwUTJ05EU1NTX4emSV0/e/y5VC4zMxO//e1vcfDgQbz33ns4fvw4fvzjH7vsJ0mktl7basdT7m7RQz3LzMx0/n9iYiJSUlIwYsQI7Nixw2VLI5KHP5fKzZw50/n/CQkJSE5ORmxsLD7//HNMnz69DyMjX+Y1PTm5W/SQe0JDQ5GYmIjz58/3dSia1LUylT+X6ouOjkZsbCx/NqlXeU2S4xY9vcNms+Hs2bOIjo7u61A0KS4uDgaDweXnsr29HRUVFfy5VKipqQlXrlzhzyb1Kq8aruQWPcotWbIEWVlZMJlMaGhowKpVq2C1WpGdnd3XoXmtlpYWXLhwwfm6trYWNTU1iIiIgMlkwqJFi7B69WqMHDkSI0eOxOrVq9G/f3889dRTfRi197nT5xgREYG8vDzMmDED0dHRuHTpEpYvX44hQ4Zg2rRpfRg1+by+Xt55q02bNomxsbFiSEiI+MMf/lCsqKjo65A0ZebMmWJ0dLQYHBwsGo1Gcfr06eKZM2f6OiyvdujQIRFAtyM7O1sUxRu3EbzxxhuiwWAQdTqd+Mgjj4inT5/u26C90J0+x+vXr4vp6eni0KFDxeDgYNFkMonZ2dliXV1dX4dNPo5b7RARkc/ymjk5IiIitTHJERGRz2KSIyIin8UkR0REPotJjoiIfBaTHBER+SwmOSIi8llMckRE5LOY5IiIyGcxyRERkc9ikiMiIp/FJEdERD7r/wNythWVb8iyoQAAAABJRU5ErkJggg==", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "fig = plt.figure(figsize=(5,4))\n", - "plt.pcolor(Restart[\"e3t_m\"][0],vmin=1.016)\n", - "plt.colorbar()\n", - "plt.title(\"e3t_m\")\n", - "#x=Restart[\"e3t_m\"][0,0]" - ] - }, - { - "cell_type": "code", - "execution_count": 12, - "id": "601f3805-34e0-4780-9dcf-367f8b21ae6e", - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "e3_m shape : (1, 14, 19)\n", - "e3t shape : (1, 75, 14, 19)\n", - "deptht shape : (1, 75, 14, 19)\n" - ] - } - ], - "source": [ - "e3t_new,depth_mauvais = restart.update_e3tm(MASKdataset,Restart)\n", - "\n", - "print(\"e3_m shape : \",np.shape(Restart[\"e3t_m\"]))\n", - "print(\"e3t shape : \",np.shape(e3t_new))\n", - "print(\"deptht shape : \",np.shape(deptht_new))" - ] - }, - { - "cell_type": "code", - "execution_count": 13, - "id": "2aa11f0a-09a1-4876-bea9-6c0c6a44fe11", - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "Text(0.5, 1.0, 'e3t_m')" - ] - }, - "execution_count": 13, - "metadata": {}, - "output_type": "execute_result" - }, - { - "data": { - "image/png": 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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "fig = plt.figure(figsize=(5,4))\n", - "plt.pcolor(Restart[\"e3t_m\"][0],vmin=1.016)\n", - "plt.colorbar()\n", - "plt.title(\"e3t_m\")" - ] - }, - { - "cell_type": "markdown", - "id": "c6f4d437", - "metadata": {}, - "source": [ - "### 2.3 - rhop update" - ] - }, - { - "cell_type": "code", - "execution_count": 14, - "id": "c9407f22-5e47-4bbe-93a7-b2a2f8353632", - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": 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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "restart.plot_density_infos(Restart,e3t_new,min_=1017)" - ] - }, - { - "cell_type": "code", - "execution_count": 15, - "id": "5fa4bb61-a9b0-4a76-9dbe-71b5d95c102d", - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "rhop shape : (1, 75, 14, 19)\n" - ] - } - ], - "source": [ - "restart.update_rhop(Restart,thetao_new,so_new)\n", - "\n", - "print(\"rhop shape : \",np.shape(Restart[\"rhop\"]))" - ] - }, - { - "cell_type": "code", - "execution_count": 16, - "id": "9510100d-864a-4d13-9b6c-b90eda262c41", - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": 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", 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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "rhop = np.array(Restart['rhop'].where(Restart[\"rhop\"][0] != 0., np.nan))\n", - "rhop_reg = restart.regularize_rho(np.copy(rhop))\n", - "\n", - "diff_reg = np.diff(rhop_reg[0], axis=0)/e3t_new[0,:-1]\n", - "for i in range(19): \n", - " for j in range(14):\n", - " plt.plot(diff_reg[:,j,i])" - ] - }, - { - "cell_type": "markdown", - "id": "3d06fd41-6997-4e4c-9020-739c389f7409", - "metadata": {}, - "source": [ - "### 2.4 - velocities update" - ] - }, - { - "cell_type": "code", - "execution_count": 18, - "id": "58dd6949-b25d-41e8-8965-f8dc882d3490", - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "" - ] - }, - "execution_count": 18, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "import importlib\n", - "importlib.reload(restart)" - ] - }, - { - "cell_type": "code", - "execution_count": 19, - "id": "d686a9bc-4988-4bdf-90ce-7971d9009ca0", - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "Text(0.5, 1.0, 'Zonal U surface velocity')" - ] - }, - "execution_count": 19, - "metadata": {}, - "output_type": "execute_result" - }, - { - "data": { - "image/png": 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", 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" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "fig, axes = plt.subplots(1,2, figsize=(10,3))\n", - "a = axes[0].pcolor(Restart[\"vn\"][0,0])\n", - "axes[0].set_title('Meridional V surface velocity')\n", - "fig.colorbar(a, ax=axes[0])\n", - "a = axes[1].pcolor(Restart[\"un\"][0,0])\n", - "fig.colorbar(a, ax=axes[1])\n", - "axes[1].set_title('Zonal U surface velocity')" - ] - }, - { - "cell_type": "code", - "execution_count": 20, - "id": "638f1e6a-4196-483a-9b3a-28bc3c16aec0", - "metadata": {}, - "outputs": [], - "source": [ - "v = restart.update_v_velocity(Restart,MASKdataset,e3t_new[0])\n", - "u = restart.update_u_velocity(Restart,MASKdataset,e3t_new[0])" - ] - }, - { - "cell_type": "code", - "execution_count": 21, - "id": "09043216-618c-42ab-bf20-3c20076eab63", - "metadata": {}, - "outputs": [ - { - "name": "stderr", - "output_type": "stream", - "text": [ - "/tmp/ipykernel_1648864/1059412851.py:6: MatplotlibDeprecationWarning: Getting the array from a PolyQuadMesh will return the full array in the future (uncompressed). To get this behavior now set the PolyQuadMesh with a 2D array .set_array(data2d).\n", - " fig.colorbar(a, ax=axes[1])\n" - ] - }, - { - "data": { - "text/plain": [ - "Text(0.5, 1.0, 'Zonal U surface velocity')" - ] - }, - "execution_count": 21, - "metadata": {}, - "output_type": "execute_result" - }, - { - "data": { - "image/png": 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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "fig, axes = plt.subplots(1,2, figsize=(10,3))\n", - "a = axes[0].pcolor(v[0,0])\n", - "axes[0].set_title('Meridional V surface velocity')\n", - "fig.colorbar(a, ax=axes[0])\n", - "a = axes[1].pcolor(u[0,0])\n", - "fig.colorbar(a, ax=axes[1])\n", - "axes[1].set_title('Zonal U surface velocity')" - ] - }, - { - "cell_type": "markdown", - "id": "d944ab47-d6c9-42de-b6a4-07930dec6e90", - "metadata": {}, - "source": [ - "# **Save restart file**" - ] - }, - { - "cell_type": "code", - "execution_count": 33, - "id": "7f5fa984-0bb5-4df8-8f1c-e10539f74e12", - "metadata": {}, - "outputs": [], - "source": [ - "Restart = Restart.rename_vars({'xx': 'x','yy':'y'}) #inverse transformation of x and y vars\n", - "#Restart.to_netcdf(restarts_file+restart_name)" - ] - }, - { - "cell_type": "markdown", - "id": "7d7c4d53-86a4-452a-a74b-f1278df82dd1", - "metadata": {}, - "source": [ - "----" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "7ee4d8b6-2b2f-48b6-a286-77bc271e9cf5", - "metadata": {}, - "outputs": [], - "source": [] - }, - { - "cell_type": "code", - "execution_count": 26, - "id": "34921b7e-40df-44a1-bf34-253ba46dbf9f", - "metadata": { - "scrolled": true - }, - "outputs": [ - { - "data": { - "image/png": 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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "fig, axes = plt.subplots(2,4, figsize=(10,6))\n", - "axes[0,0].pcolor(vn[0,0])\n", - "axes[0,1].pcolor(vmask[-1,0])\n", - "axes[0,2].pcolor(v_new[0])\n", - "axes[0,3].pcolor(vn_new[-1,0])\n", - "\n", - "axes[1,0].pcolor(un[0,0])\n", - "axes[1,1].pcolor(umask[-1,0])\n", - "axes[1,2].pcolor(u_new[0])\n", - "axes[1,3].pcolor(un_new[-1,0])\n", - "\n", - "names = [\"vn\",\"vmask\",\"v\",\"vn update\",\"un\",\"umask\",\"u\",\"un update\"]\n", - "for i, ax in enumerate(axes.flat):\n", - " ax.set_title(names[i])\n", - "\n", - "plt.tight_layout()" - ] - }, - { - "cell_type": "code", - "execution_count": 27, - "id": "36210e05-bea1-4099-8355-6f600c91c460", - "metadata": { - "scrolled": true - }, - "outputs": [ - { - "data": { - "image/png": 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" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "fig, axes = plt.subplots(1,3, figsize=(12,4))\n", - "for i in range(np.shape(vn)[3]):\n", - " for j in range(np.shape(vn)[2]):\n", - " axes[0].plot(vn_new[0,:,j,i]-v_new[:,j,i])\n", - " axes[1].plot(un_new[0,:,j,i]-u_new[:,j,i])\n", - " axes[0].set_title(\"vn and v difference along z axis\")\n", - " axes[1].set_title(\"un and u difference along z axis\")\n", - " axes[2].plot(vn[-1,:,j,i]-vn_new[-1,:,j,i])" - ] - } - ], - "metadata": { - "kernelspec": { - "display_name": "Python 3 (ipykernel)", - "language": "python", - "name": "python3" - }, - "language_info": { - "codemirror_mode": { - "name": "ipython", - "version": 3 - }, - "file_extension": ".py", - "mimetype": "text/x-python", - "name": "python", - "nbconvert_exporter": "python", - "pygments_lexer": "ipython3", - "version": "3.9.18" - } - }, - "nbformat": 4, - "nbformat_minor": 5 -} diff --git a/.ipynb_checkpoints/densite-checkpoint.py b/.ipynb_checkpoints/densite-checkpoint.py deleted file mode 100644 index 8558edb..0000000 --- a/.ipynb_checkpoints/densite-checkpoint.py +++ /dev/null @@ -1,1297 +0,0 @@ -#!/usr/bin/env python -#======================================================================= -# General Documentation - -"""Equation of state of Sea-water and related utilities. -""" - -#----------------------------------------------------------------------- -# Additional Documentation -# -# Modification History: -# - Oct 2007: Original by Julien Le Sommer, LEGI/CNRS -# - Jun 2008: Include pressure related utilities, JLS. -# - Jan 2009: Include potential_energy_anomaly, JLS -# - Feb 2009: improve dosctrings, JLS -# -# Notes: -# - Written for Python 2.3, tested with Python 2.4 and Python 2.5 -# -# Copyright (c) 2007, 2008,2009 by Julien Le Sommer. -# For licensing, distribution conditions, contact information, -# and additional documentation see the URL -# http://www.legi.hmg.inpg.fr/~lesommer/PyDom/doc/. -#======================================================================= - - - -#---------------- Module General Import and Declarations --------------- - -#- Set module version to package version: - -#import package_version -#__version__ = package_version.version -#__author__ = package_version.author -#__date__ = package_version.date -#del package_version - - - -import numpy as N -import numpy as npy -import math as m -#from PyDom.__param__ import * - - -#---------------- Core Functions --------------------------------------- -rau0 = 10e3 # We added rau0 constant - -def insitu(theta0,S,Z): - """In-situ density (kg/m**3) - - Compute in-situ density from `insitu_anom` with - Jackett and McDougall (1995) equation of state. - - Parameters - ---------- - theta0 : numpy.array - potential temperature - S : numpy.array - salinity - Z : numpy.array - pressure (dB) or depth (m) - - """ - rho = rau0 * insitu_anom(theta0,S,Z) + rau0 - # - return rho - -def sigma_n_old(theta0,S,n): - """Potential density referenced to pressure n*1000dB (kg/m**3) - - Parameters - ---------- - theta0 : numpy.array - potential temperature - S : numpy.array - salinity - n : int - reference pressure / 1000 dB - - """ - if n==0: - return sig0(theta0,S) - else: - theta_n=theta0_2_theta_n(theta0,S,n) - dep=N.zeros(theta0.shape)+n*1000 - sig_n=insitu(theta_n,S,dep)-1000 - # - return sig_n - - -def sigma_n(theta0,S,n): - """Potential density referenced to pressure n*1000dB (kg/m**3) - - Parameters - ---------- - theta0 : numpy.array - potential temperature - S : numpy.array - salinity - n : int - reference pressure / 1000 dB - - Method - ------ - A.-M. Treguier - - """ - # - dpr4=4.8314e-4 - dpd=-2.042967e-2 - dprau0 = 1000. - pref = n * 1000. - dlref = pref - #sigmai = 0.*theta0 - dlrs = N.sqrt(N.abs(S)) - dlt = theta0 - dls = S - # Compute the volumic mass of pure water at atmospheric pressure. - dlr1=((((6.536332e-9*dlt-1.120083e-6)\ - *dlt+1.001685e-4)\ - *dlt-9.095290e-3)\ - *dlt+6.793952e-2)\ - *dlt+999.842594e0 - # Compute the seawater volumic mass at atmospheric pressure. - dlr2=(((5.3875e-9*dlt-8.2467e-7)\ - *dlt+7.6438e-5)\ - *dlt-4.0899e-3)\ - *dlt+0.824493e0 - - dlr3=(-1.6546e-6*dlt+1.0227e-4)\ - *dlt-5.72466e-3 - # Compute the potential volumic mass (referenced to the surface). - dlrhop=(dpr4*dls+dlr3*dlrs+dlr2)*dls+dlr1 - - # Compute the compression terms. - dle=(-3.508914e-8*dlt-1.248266e-8)\ - *dlt-2.595994e-6 - - dlbw=(1.296821e-6*dlt-5.782165e-9)\ - *dlt+1.045941e-4 - - dlb=dlbw+dle*dls - - dlc=(-7.267926e-5*dlt+2.598241e-3)\ - *dlt+0.1571896e0 - - dlaw=((5.939910e-6*dlt+2.512549e-3)\ - *dlt-0.1028859e0)\ - *dlt-4.721788e0 - - dla=(dpd*dlrs+dlc)*dls+dlaw - - dlb1=(-0.1909078e0*dlt+7.390729e0)\ - *dlt-55.87545e0 - - dla1=((2.326469e-3*dlt+1.553190e0)\ - *dlt-65.00517e0)\ - *dlt+1044.077e0 - - dlkw=(((-1.361629e-4*dlt-1.852732e-2)\ - *dlt-30.41638e0)\ - *dlt+2098.925e0)\ - *dlt+190925.6e0 - - dlk0=(dlb1*dlrs+dla1)*dls+dlkw - - # Compute the potential density anomaly. - sigmai=dlrhop/(1.0e0-dlref/(dlk0-dlref*(dla-dlref*dlb)))\ - -dprau0 - return sigmai - - -def sig0(theta0,S): - """Surface referenced potential density (kg/m**3) - - Parameters - ---------- - theta0 : numpy.array - potential temperature - S : numpy.array - salinity - - Method - ------ - Use `insitu` - - """ - dep=N.zeros(theta0.shape) - sig=insitu(theta0,S,dep)-1000 - return sig - - -def insitu_anom(theta0,S,Z): - """In-situ density anomaly. - - In situ density is computed directly as a function of - potential temperature relative to the surface. - - Parameters - ---------- - theta0 : numpy.array - potential temperature - S : numpy.array - salinity - Z : numpy.array - pressure (dB) or depth (m) - - Notes - ----- - We use Jackett and McDougall (1995)'s [1]_ equation of state. - the in situ density is computed directly as a function of - potential temperature relative to the surface (the opa t - variable), salt and pressure (assuming no pressure variation - along geopotential surfaces, i.e. the pressure p in decibars - is approximated by the depth in meters. - - prd(t,s,p) = ( rho(t,s,p) - rau0 ) / rau0 - - with: - - - pressure p decibars - - - potential temperature t deg celsius - - - salinity s psu - - - reference volumic mass rau0 kg/m**3 - - - in situ volumic mass rho kg/m**3 - - - in situ density anomaly prd no units - - Examples - -------- - >>> insitu(40,40,10000) - 1060.93298 - - References - ---------- - .. [1] Jackett, D. R., and T. J. McDougall, Minimal adjustment of - hydrographic profiles to achieve static stability, J. Atmos. - Ocean. Technol., 12(4), 381-389, 1995. - - """ - - - - zsr=N.sqrt(N.abs(S)) - zt=theta0 - zs=S - zh=Z - - # compute volumic mass pure water at atm pressure - zr1= ( ( ( ( 6.536332e-9*zt-1.120083e-6 )*zt+1.001685e-4)*zt - -9.095290e-3 )*zt+6.793952e-2 )*zt+999.842594 - # seawater volumic mass atm pressure - zr2= ( ( ( 5.3875e-9*zt-8.2467e-7 ) *zt+7.6438e-5 ) *zt - -4.0899e-3 ) *zt+0.824493 - zr3= ( -1.6546e-6*zt+1.0227e-4 ) *zt-5.72466e-3 - zr4= 4.8314e-4 - - # potential volumic mass (reference to the surface) - zrhop= ( zr4*zs + zr3*zsr + zr2 ) *zs + zr1 - - # add the compression terms - ze = ( -3.508914e-8*zt-1.248266e-8 ) *zt-2.595994e-6 - zbw= ( 1.296821e-6*zt-5.782165e-9 ) *zt+1.045941e-4 - zb = zbw + ze * zs - - zd = -2.042967e-2 - zc = (-7.267926e-5*zt+2.598241e-3 ) *zt+0.1571896 - zaw= ( ( 5.939910e-6*zt+2.512549e-3 ) *zt-0.1028859 ) *zt - 4.721788 - za = ( zd*zsr + zc ) *zs + zaw - - zb1= (-0.1909078*zt+7.390729 ) *zt-55.87545 - za1= ( ( 2.326469e-3*zt+1.553190)*zt-65.00517 ) *zt+1044.077 - zkw= ( ( (-1.361629e-4*zt-1.852732e-2 ) *zt-30.41638 ) - *zt + 2098.925 ) *zt+190925.6 - zk0= ( zb1*zsr + za1 )*zs + zkw - - prd=( zrhop / ( 1.0 - zh / ( zk0 - zh * ( za - zh * zb ) ) ) - - rau0 ) / rau0 - - return prd - -def delta(t,s,p): - """Specific volume anomaly. - - Specific volume anomaly with respect to a standart ocean - of salinity S = Sstd and T = Tstd. - - Parameters - ---------- - t : numpy.array - potential temperature - s : numpy.array - salinity - p : numpy.array - pressure (dB) or depth (m) - - References - ---------- - see e.g. page 2188 of Watts et al. JPO, 2001. - - """ - delta = 1. / insitu(t,s,p) - 1. / insitu(Tstd, Sstd, p) - return delta - -def spice(t,s): - """Spiciness. - - A state variable for characterizing water masses and their - diffusive stability - - Parameters - ---------- - t : numpy.array - potential temperature - s : numpy.array - salinity - - Notes - ----- - following Flament (2002) [1]_. We could also have used [2]_. - - **caution** This state variable is only valid close to the surface. - - See also - -------- - http://www.satlab.hawaii.edu/spice/spice.html - - References - ---------- - .. [1] Flament (2002) A state variable for characterizing water - masses and their diffusive stability: spiciness. Progress - in Oceanography Volume 54, 2002, Pages 493-501. - .. [2] Jackett and McDougall, Deep Sea Research, 32A, 1195-1208, 1985. - - Examples - -------- - >>> spice(15,33) - 0.54458641375 - - """ - B = numpy.zeros((7,6)) - B[1,1] = 0 - B[1,2] = 7.7442e-001 - B[1,3] = -5.85e-003 - B[1,4] = -9.84e-004 - B[1,5] = -2.06e-004 - - B[2,1] = 5.1655e-002 - B[2,2] = 2.034e-003 - B[2,3] = -2.742e-004 - B[2,4] = -8.5e-006 - B[2,5] = 1.36e-005 - - B[3,1] = 6.64783e-003 - B[3,2] = -2.4681e-004 - B[3,3] = -1.428e-005 - B[3,4] = 3.337e-005 - B[3,5] = 7.894e-006 - - B[4,1] = -5.4023e-005 - B[4,2] = 7.326e-006 - B[4,3] = 7.0036e-006 - B[4,4] = -3.0412e-006 - B[4,5] = -1.0853e-006 - - B[5,1] = 3.949e-007 - B[5,2] = -3.029e-008 - B[5,3] = -3.8209e-007 - B[5,4] = 1.0012e-007 - B[5,5] = 4.7133e-008 - - B[6,1] = -6.36e-010 - B[6,2] = -1.309e-009 - B[6,3] = 6.048e-009 - B[6,4] = -1.1409e-009 - B[6,5] = -6.676e-010 - # - t = numpy.array(t) - s = numpy.array(s) - # - coefs = B[1:7,1:6] - sp = numpy.zeros(t.shape) - ss = s - 35. - bigT = numpy.ones(t.shape) - for i in range(6): - bigS = numpy.ones(t.shape) - for j in range(5): - sp+= coefs[i,j]*bigT*bigS - bigS*= ss - bigT*=t - return sp - - -def lapse_rate(t,s,p): - """Adiabatic lapse rate (deg C/dBar). - - Adiabatic lapse rate (deg C/dBar) from salinity (psu), - temperature (deg C) and pressure (dbar) - - Parameters - ---------- - t : numpy.array - temperature (deg C) - s : numpy.array - salinity (psu) - p : numpy.array - pressure (dbar) - - - Notes - ----- - This calculator is based on an algorithm for the speed of sound - published by Chen and Millero (1977) [1]_. - - The underlying equations are valid for temperatures from -2 to 35 deg C, - pressures from 0 to 10,000 dbar, - and practical salinity from 2 to 42. - - See also - -------- - http://fermi.jhuapl.edu/denscalc/spdcalc.html - - References - ---------- - .. [1] Chen and Millero, Speed of sound in seawater at high pressures, - J. Acoust. Soc. Am., Vol. 62, No. 5, 1129-1135, Nov 1977. - - """ - # - ds = s - 35.0 - atg = ((-2.1687e-16 * t + 1.8676e-14) * t - 4.6206e-13) * p * p - atg+= (2.7759e-12 * t - 1.1351e-10 ) * ds * p - atg+= (((-5.4481e-14 * t + 8.7330e-12) * t - 6.7795e-10) * t + 1.8741e-8) * p - atg+= (-4.2393e-8 * t + 1.8932e-6 ) * ds - atg+= ((6.6228e-10 * t - 6.8360e-8) * t + 8.5258e-6) * t + 3.5803e-5 - return atg - - -def theta_n(theta0,s,n): - """Potential temperature. - - Potential temperature with reference pressure n x 1000dB - - Parameters - ---------- - theta0 : numpy.array - potential temperature - s : numpy.array - salinity - n : int - reference pressure / 1000 dB - - """ - Pr=n*1000 - theta=theta0_2_theta(theta0,s,Pr) - return theta - -def theta0_2_theta_n(theta0,s,Pr): - """Potential temperature. - - Potential temperature with reference pressure Pr. - - Parameters - ---------- - theta0 : numpy.array - potential temperature - s : numpy.array - salinity - Pr : float - reference pressure (dB) - - Notes - ----- - **caution** This function uses a very rough estimate of potential temperature - - """ - P0=0 - dP=Pr-P0 - dT= dP*lapse_rate(theta0,s,(Pr+P0)/2.) - theta_n=theta0+dT - ## # # print '********************************************************************' - ## # print ' theta0_2_theta_n is now deprecated. Please do not use it.' - ## # print '********************************************************************' - return theta_n - - -def beta(theta0,s,p): - """Haline contraction coeficient beta. - - Haline contraction coeficient (unit : 1/psu) from McDougall (1987) [1]_ - - Parameters - ---------- - theta0 : numpy.array - potential temperature - s : numpy.array - salinity - p : numpy.array - pressure (dB) or depth (m) - - Notes - ----- - adapted from McDougall (1987) [1]_. - - References - ---------- - .. [1] McDougall, Neutral surfaces - Journal of Physical Oceanography, - vol.17,pp.1950-1964, 1987. - - """ - th=theta0 - beta = 0.785567E-3 - 0.301985E-5*th - beta+= 0.555579E-7*th**2 - 0.415613E-9*th**3 - beta+=(s-35.0)*(-0.356603E-6 + 0.788212E-8*th \ - + 0.408195E-10*p - 0.602281E-15*p**2) - beta+=(s-35.0)**2*0.515032E-8 + p*(-0.121555E-7 \ - + 0.192867E-9*th - 0.213127E-11*th**2) - beta+= p**2*(0.176621E-12 - 0.175379E-14*th) + p**3*(0.121551E-17) - return beta - - -def alpha_over_beta(theta0,s,p): - """Thermal expansion to haline contraction ratio. - - Ratio of the thermal expansion coefficient to the saline - contraction coeficient (unit: psu/deg). - - Parameters - ---------- - theta0 : numpy.array - potential temperature - s : numpy.array - salinity - p : numpy.array - pressure (dB) or depth (m) - - Notes - ----- - from McDougall (1987) [1]_. - - References - ---------- - .. [1] McDougall, Neutral surfaces - Journal of Physical Oceanography, - vol.17,pp.1950-1964, 1987. - - """ - th=theta0 - ab= 0.665157E-1 + 0.170907E-1*th - ab+= -0.203814E-3*th**2 + 0.298357E-5*th**3 \ - - 0.255019E-7*th**4 - ab+= (s-35.0)*(0.378110E-2 - 0.846960E-4*th \ - - 0.164759E-6*p - 0.251520E-11*p**2) - ab+= (s-35.0)**2*(-0.678662E-5) + p*(0.380374E-4 \ - - 0.933746E-6*th + 0.791325E-8*th**2) - ab+= 0.512857E-12*p**2*th**2 - 0.302285E-13*p**3 - return ab - - -def alpha(theta0,s,p): - """Thermal expansion coefficient. - - Thermal expansion coeficient (unit : 1/deg) from McDougall (1987) [1]_ - - Parameters - ---------- - theta0 : numpy.array - potential temperature - s : numpy.array - salinity - p : numpy.array - pressure (dB) or depth (m) - - References - ---------- - .. [1] McDougall, Neutral surfaces - Journal of Physical Oceanography, - vol.17,pp.1950-1964, 1987. - - """ - alpha=beta(theta0,s,p)*alpha_over_beta(theta0,s,p) - return alpha - -#---------------- Derivatives of Core Funtions --------------------------- - -def rhoalpha(theta0,s,p): - """rho x alpha. - - Return the product rho x alpha. - - Parameters - ---------- - theta0 : numpy.array - potential temperature - s : numpy.array - salinity - p : numpy.array - pressure (dB) or depth (m) - - """ - zrho = insitu(theta0,s,p) - za = alpha(theta0,s,p) - return zrho * za - -def rhobeta(theta0,s,p): - """rho x beta. - - Return the product rho x beta. - - Parameters - ---------- - theta0 : numpy.array - potential temperature - s : numpy.array - salinity - p : numpy.array - pressure (dB) or depth (m) - - """ - zrho = insitu(theta0,s,p) - zb = beta(theta0,s,p) - return zrho * zb - -def beta_p(theta0,s,p): - """Partial derivative of beta with respect to pressure. - - Parameters - ---------- - theta0 : numpy.array - potential temperature - s : numpy.array - salinity - p : numpy.array - pressure (dB) or depth (m) - - Notes - ----- - analytic derivation of McDougall (1987)'s formula. - - """ - th=theta0 - zbeta_p=(s-35.0)*( 0.408195E-10 - 0.602281E-15*p*2) - zbeta_p+=+ (-0.121555E-7 + 0.192867E-9*th \ - - 0.213127E-11*th**2) - zbeta_p+= 2*p*(0.176621E-12 - 0.175379E-14*th) \ - + 3*p**2*(0.121551E-17) - return zbeta_p - - -def rho_p(theta0,s,p): - """Partial derivative of in situ density with respect to pressure. - - Parameters - ---------- - theta0 : numpy.array - potential temperature - s : numpy.array - salinity - p : numpy.array - pressure (dB) or depth (m) - - Notes - ----- - analytic derivation of Jackett and McDougall (1995)'s formula. - - """ - zsr=N.sqrt(N.abs(s)) - zt=theta0 - zs=s - zh=p - - # compute volumic mass pure water at atm pressure - zr1= ( ( ( ( 6.536332e-9*zt-1.120083e-6 )*zt+1.001685e-4)*zt - -9.095290e-3 )*zt+6.793952e-2 )*zt+999.842594 - # seawater volumic mass atm pressure - zr2= ( ( ( 5.3875e-9*zt-8.2467e-7 ) *zt+7.6438e-5 ) *zt - -4.0899e-3 ) *zt+0.824493 - zr3= ( -1.6546e-6*zt+1.0227e-4 ) *zt-5.72466e-3 - zr4= 4.8314e-4 - - # potential volumic mass (reference to the surface) - zrhop= ( zr4*zs + zr3*zsr + zr2 ) *zs + zr1 - - # add the compression terms - ze = ( -3.508914e-8*zt-1.248266e-8 ) *zt-2.595994e-6 - zbw= ( 1.296821e-6*zt-5.782165e-9 ) *zt+1.045941e-4 - zb = zbw + ze * zs - - zd = -2.042967e-2 - zc = (-7.267926e-5*zt+2.598241e-3 ) *zt+0.1571896 - zaw= ( ( 5.939910e-6*zt+2.512549e-3 ) *zt-0.1028859 ) *zt - 4.721788 - za = ( zd*zsr + zc ) *zs + zaw - - zb1= (-0.1909078*zt+7.390729 ) *zt-55.87545 - za1= ( ( 2.326469e-3*zt+1.553190)*zt-65.00517 ) *zt+1044.077 - zkw= ( ( (-1.361629e-4*zt-1.852732e-2 ) *zt-30.41638 ) - *zt + 2098.925 ) *zt+190925.6 - zk0= ( zb1*zsr + za1 )*zs + zkw - - #zrho= zrhop / ( 1.0 - zh / ( zk0 - zh * ( za - zh * zb ) ) ) - zk= zk0 - zh * ( za - zh * zb ) - zu=zh/zk - zk_p = -za + 2*zh * zb - zu_p=( 1 - ( zh/zk ) * zk_p ) / zk - zrho_p=(zrhop / ( 1.0 - zu )**2 ) * zu_p - return zrho_p - - -def Tb(theta0,s,p): - """Thermobaric parameter Tb. - - Parameters - ---------- - theta0 : numpy.array - potential temperature - s : numpy.array - salinity - p : numpy.array - pressure (dB) or depth (m) - - Notes - ----- - Tb = beta*(alpha/beta)_p = alpha_p - (alpha/beta)*beta_p - - Tb ~ 2.7E-8 K-1.dbar-1 = 2.7E-12 K-1.Pa-1 - - """ - # # # # print 'eos.Tb has not been checked yet...' - return beta(theta0,s,p)*alpha_over_beta_p(theta0,s,p) - #return alpha_p(theta0,s,p)-alpha_over_beta(theta0,s,p)*beta_p(theta0,s,p) - -def alpha_over_beta_p(theta0,s,p): - """Partial derivative of alpha/beta with respect to pressure. - - Parameters - ---------- - theta0 : numpy.array - potential temperature - s : numpy.array - salinity - p : numpy.array - pressure (dB) or depth (m) - - Notes - ----- - analytic derivation of McDougall (1987)'s formula. - - """ - th=theta0 - zab_p= (s-35.0)*( - 0.164759E-6 - 0.251520E-11*2*p) - zab_p+= (0.380374E-4 - 0.933746E-6*th + 0.791325E-8*th**2) - zab_p+= 0.512857E-12*2*p*th**2 - 0.302285E-13*3*p**2 - return zab_p - -def alpha_p(theta0,s,p): - """Partial derivative of alpha with respect to pressure. - - Parameters - ---------- - theta0 : numpy.array - potential temperature - s : numpy.array - salinity - p : numpy.array - pressure (dB) or depth (m) - - Notes - ----- - computes alpha_p = (alpha/beta)_p * beta + beta_p * (alpha/beta) - - """ - zb = beta(theta0,s,p) - zb_p = beta_p(theta0,s,p) - zab = alpha_over_beta(theta0,s,p) - zab_p = alpha_over_beta_p(theta0,s,p) - return zab_p * zb + zab * zb_p - - -def rhobeta_p(theta0,s,p): - """Partial derivative of rho*beta with respect to pressure. - - Parameters - ---------- - theta0 : numpy.array - potential temperature - s : numpy.array - salinity - p : numpy.array - pressure (dB) or depth (m) - - """ - zrho= insitu(theta0,s,p) - zbeta= beta(theta0,s,p) - zbeta_p= beta_p(theta0,s,p) - zrho_p= rho_p(theta0,s,p) - return zrho*zbeta_p+zbeta*zrho_p - -def rhoalpha_p(theta0,s,p): - """Partial derivative of rho*alpha with respect to pressure. - - Parameters - ---------- - theta0 : numpy.array - potential temperature - s : numpy.array - salinity - p : numpy.array - pressure (dB) or depth (m) - - """ - zrhobeta= rhobeta(theta0,s,p) - zab= alpha_over_beta(theta0,s,p) - zrhobeta_p= rhobeta_p(theta0,s,p) - zab_p= alpha_over_beta_p(theta0,s,p) - return zrhobeta*zab_p+zab*zrhobeta_p - - -#---------------- Functions involving Derivatives or integrals -------------- -#- ie : "dom" dependent utilities. -def bn2(dom,theta0,S): - """Brunt-Vaissala frequency. - - Brunt-Vaissala frequency on the w-grid. - - Parameters - ---------- - dom : OPA_C_Grid instance - domain - theta0 : numpy.array - potential temperature - s : numpy.array - salinity - - Notes - ----- - The stability frequency is computed according to : - - N2 = grav*(alpha d_z theta - beta d_z S). - - """ - ralpha= alpha(theta0,S,dom.depthT_3D) - rbeta= beta(theta0,S,dom.depthT_3D) - ra=dom.lamVz(ralpha,dom.dro_z(theta0)) - rb=dom.lamVz(rbeta,dom.dro_z(S)) - gz=grav*(ra-rb) - mgz=dom.set_mask(gz,dom.wmask) - return mgz - -def isoslope(dom,theta0,S): - """Slope of isopycnals. - """ - ralpha= alpha(theta0,S,dom.depthT_3D) - rbeta= beta(theta0,S,dom.depthT_3D) - tx,ty,tz = dom.grad3D(theta0) - sx,sy,sz = dom.grad3D(S) - atx,aty,atz = dom.lamV(ralpha,(tx,ty,tz)) - bsx,bsy,bsz = dom.lamV(rbeta,(sx,sy,sz)) - ghsig = (atx-bsx,aty-bsy,0. * atz) - gzsig = atz - bsz - ngh = N.sqrt(dom.normV(ghsig)) - denom = dom.gridW_2_gridT(gzsig) - s = dom.set_mask(ngh / denom,dom.tmask) - return s - -def Gz(dom,theta0,S): - """Vertical component of the neutral vector. - - Vertical component of the neutral vector on the w-grid. - - Parameters - ---------- - dom : OPA_C_Grid instance - domain - theta0 : numpy.array - potential temperature - s : numpy.array - salinity - - """ - ralpha= rhoalpha(theta0,S,dom.depthT_3D) - rbeta= rhobeta(theta0,S,dom.depthT_3D) - ra=dom.lamVz(ralpha,dom.dro_z(theta0)) - rb=dom.lamVz(rbeta,dom.dro_z(S)) - gz=(ra-rb) - mgz=dom.set_mask(gz,dom.wmask) - return mgz - - - - -def hydrostatic(dom,T=None,S=None,rho=None,p0=1E5): - """Hydrostatic pressure (Pa). - - Parameters - ---------- - dom : OPA_C_Grid instance - domain - T : numpy.array - potential temperature - S : numpy.array - salinity - rho : numpy.array, optional - in situ density - p0 : numpy.array - surface pressure - - Notes - ----- - according to \partial_z P = - \rho g - - **caution** P unit is Pa (1 dbar = 1e4 Pascal) - - """ - # - jpk = dom.jpk - # - ph = N.zeros(dom.tmask.shape) - if rho is not None: - arho = (rho - rau0) / rau0 - else: - arho = insitu_anom(T,S,dom.depthT_3D) - # - ph[...,0,:,:] = grav * dom.depthT_3D[0,:,:] * arho[...,0,:,:] - ph[...,1:jpk,:,:] = grav * dom.m_k(arho) * dom.e3w_3D[1:jpk,:,:] - ph = ph.cumsum(axis=-3) - ph*= rau0 - ph+= rau0 * grav * dom.depthT_3D - ph+= p0 - ph= dom.set_mask(ph,dom.tmask) - return ph - -def surface(dom,ssh,rho=rau0): - """Surface pressure associated with sea surface height. - - Parameters - ---------- - dom : OPA_C_Grid instance - domain - ssh : numpy.array - sea surface height - rho : numpy.array, optional - surface in situ density - surface pressure - - - """ - ps = rho * grav * ssh - ps = dom.set_mask(ps,dom.tmask[0,:]) - return ps - -def pressure(dom,T=None,S=None,ssh=None,rho=None): - """Pressure. - - Returns the surface + hydrostatic pressure - - Parameters - ---------- - dom : OPA_C_Grid instance - domain - T : numpy.array - potential temperature - S : numpy.array - salinity - ssh : numpy.array - sea surface height - rho : numpy.array, optional - in situ density - - - """ - if ssh is None: - ssh=0.*T - rho_s = rau0 - else: - rho_s = insitu(T[0],S[0],0.) - if rho is not None: - p = hydrostatic(dom,rho=rho) - else: - p = hydrostatic(dom,T,S) - p+= surface(dom,ssh,rho=rho_s) - p = dom.set_mask(p,dom.tmask) - return p - -def chi(dom,T,S): - """Return chi = g/rho0 \int (z * rho) dz - """ - z3d = dom.depthT_3D - rho = insitu(T,S,z3d) - integral = dom.integrate_dz(rho * z3d,dom.tmask) - return integral * grav / rau0 - -def jebar_old(dom,T,S): - """Return the JEBAR term. (weak signal to noise ratio...) - see e.g. Mertz and Wright JPO 1992 - """ - dom.get_bottom_depth() - invH = 1./dom.bottom_depth - mchi = chi(dom,T,S) - return dom.jacobian(mchi,invH) - -def jebar(dom,T,S): - """Return the JEBAR term. (not checked yet...) - see e.g. Mertz and Wright JPO 1992 - """ - dom.get_bottom_depth() - z3d = dom.depthT_3D - rho = insitu(T,S,z3d) - h3d = dom.stretch(dom.bottom_depth) - locjac = dom.jacobian(rho,h3d) - mymask = npy.abs(locjac)< 1. # not very satisfactory but well... - integral = dom.integrate_dz(locjac * z3d,where=mymask) - return (integral * grav / rau0 ) / (-dom.bottom_depth**2) - -def geopotential_height_anomaly(dom,T,S,z,zref=0.): - """Geopotential heigh anomaly. - - Return geopotential heigh anomaly at pressure z (in dbar) with respect - to pressure zref (in dbar). - - Parameters - ---------- - dom : OPA_C_Grid instance - domain - T : numpy.array - potential temperature - S : numpy.array - salinity - z : float - zref : float - - Notes - ----- - see e.g. Watt et al. (2001) [1]_ - - References - ---------- - .. [1] Watt et al. JPO 2001. - - """ - delt = delta(T,S,dom.depthT_3D) - dep = dom.depthT_3D - if z>zref: - intdom = (dep>zref) * (depz) - int = dom.integrate_dz(delt,intdom) - return int * dbar2pascal/grav # to get dynamic meters... - -def potential_energy_anomaly(dom,T,S,z=0,zref=2500.): - """Potential energy anomaly (PEA). - - Return PEA integrated between pressure zref (in dbar) and pressure zref (in dbar). - - Parameters - ---------- - dom : OPA_C_Grid instance - domain - T : numpy.array - potential temperature - S : numpy.array - salinity - z : float - zref : float - - Notes - ----- - see e.g. Rintoul et al. (2002) [1]_ - - References - ---------- - .. [1] Rintoul et al. JGR 2002. - - """ - delt = delta(T,S,dom.depthT_3D) - pdelt = dom.depthT_3D * delt - dep = dom.depthT_3D - if z>zref: - intdom = (dep>zref) * (depz) - int = dom.integrate_dz(pdelt,intdom) - return int * dbar2pascal/grav - - - -def geopotential_height_anomaly3D(dom,T,S): - """Geopotential heigh anomaly. - - Return geopotential heigh anomaly at pressure z (in dbar) with respect - to pressure zref (in dbar). - - Parameters - ---------- - dom : OPA_C_Grid instance - domain - T : numpy.array - potential temperature - S : numpy.array - salinity - zref : float - - Notes - ----- - see e.g. Watt et al. (2001) [1]_ - - References - ---------- - .. [1] Watt et al. JPO 2001. - - """ - name = miscutils.whoami() - # print name + ' is not implemented yet...' - return - -def montgomery(dom,t,s,ssh=None,href=0.): - """Montgomery potential. - - Parameters - ---------- - dom : OPA_C_Grid instance - domain - t : numpy.array - potential temperature - s : numpy.array - salinity - ssh : numpy.array - sea surface height - href : float, optional - reference depth - - Notes - ----- - depends on `bernoulli` - - """ - - b = pressure(dom,t,s,ssh=ssh) / rau0 - b+= grav * (href - dom.depthT_3D)# should be ok now... - return dom.set_mask(b,dom.tmask) - -def bernoulli(dom,t,s,uv,ssh=None,href=0.,method='PM07'): - """Bernoulli potential. - - Parameters - ---------- - dom : OPA_C_Grid instance - domain - t : numpy.array - potential temperature - s : numpy.array - salinity - uv: tuple of numpy.arrays - horizontal velocity - ssh : numpy.array - sea surface height - href : float, optional - reference depth - method: {'PM07','MJM01','test'} - - Notes - ----- - Different methods are available. Note that they do not - provide the same results. - - """ - exec('_bernoulli = _bernoulli_' + method) - return _bernoulli(dom,t,s,uv,ssh=ssh,href=href) - -def _bernoulli_PM07(dom,t,s,uv,ssh=None,href=0.): - """Bernoulli potential. - - Parameters - ---------- - dom : OPA_C_Grid instance - domain - t : numpy.array - potential temperature - s : numpy.array - salinity - uv: tuple of numpy.arrays - horizontal velocity - ssh : numpy.array - sea surface height - href : float, optional - reference depth - - Notes - ----- - following Polton and Marshall (2007) [1]_ - - References - ---------- - .. [1] Polton and Marshall Ocean Science 2007 - - """ - - uvw = (uv[0],uv[1],0.*uv[0]) - b = pressure(dom,t,s,ssh=ssh) / rau0 - b+= dom.dot(uvw,uvw) / 2. - b+= grav * (href - dom.depthT_3D) - return dom.set_mask(b,dom.tmask) - -def _bernoulli_MJN01(dom,t,s,uv,ssh=None,href=0.): - """Bernoulli potential. - - Parameters - ---------- - dom : OPA_C_Grid instance - domain - t : numpy.array - potential temperature - s : numpy.array - salinity - uv: tuple of numpy.arrays - horizontal velocity - ssh : numpy.array - sea surface height - href : float, optional - reference depth - - Notes - ----- - following Marshall et al. (2001) [1]_ - - References - ---------- - .. [1] Marshall Jamous and Niilson, J. of Phys. Ocean. 2001 - - """ - uvw = (uv[0],uv[1],0.*uv[0]) - rho = insitu(t,s,dom.depthT_3D) - b = pressure(dom,T=t,S=s,rho=rho,ssh=ssh) / rau0 - b+= grav * (href - dom.depthT_3D) * rho /rau0 - return dom.set_mask(b,dom.tmask) - -def _bernoulli_test(dom,t,s,uv,ssh=None,href=0.): - """You should not use this function. - """ - uvw = (uv[0],uv[1],0.*uv[0]) - rho = insitu(t,s,dom.depthT_3D) - b = pressure(dom,rho=rho,ssh=ssh) / rho - b+= grav * (href - dom.depthT_3D) - return dom.set_mask(b,dom.tmask) - - -def helicity(dom,T,S): - """Neutral helicity. - - Parameters - ---------- - dom : OPA_C_Grid instance - domain - T : numpy.array - potential temperature - S : numpy.array - salinity - - Notes - ----- - H = A . curl A where A = beta * grad S - alpha * grad T - - recompute with the spatial gradients. - - """ - grad = dom.grad3D - gS = grad(S) - gT = grad(T) - # get A - alpha = alpha(T,S,dom.depthT_3D) - beta = beta(T,S,dom.depthT_3D) - ra = dom.lamV(alpha,gT) - rb = dom.lamV(beta,gS) - A = (rb[0]-ra[0],rb[1]-ra[1],rb[2]-ra[2]) - # get curl A - alpha_p= alpha_p(T,S,dom.depthT_3D) - beta_p= beta_p(T,S,dom.depthT_3D) - P = pressure(dom,T,S) - gP = grad(P/dbar2pascal) - gPxgT = dom.cross(gP,gT,True) - gPxgS = dom.cross(gP,gS,True) - ta=dom.lamV(alpha_p,gPxgT,True) - tb=dom.lamV(beta_p,gPxgS,True) - cA=(tb[0]-ta[0],tb[1]-ta[1],tb[2]-ta[2]) - # get H - H = dom.dot(cA,A,stag_grd=True) - mH = N.core.ma.masked_where((H==0.)+(H>1.)+(H<-1.),H) # happy hard-coding... - # - return mH - - -# ===== end file ===== - diff --git a/.ipynb_checkpoints/forecast-checkpoint.py b/.ipynb_checkpoints/forecast-checkpoint.py deleted file mode 100644 index 8a6f9c2..0000000 --- a/.ipynb_checkpoints/forecast-checkpoint.py +++ /dev/null @@ -1,457 +0,0 @@ -import pickle -import numpy as np -import pandas as pd -import matplotlib.pyplot as plt -from sklearn.preprocessing import StandardScaler -from sklearn.gaussian_process import GaussianProcessRegressor -from sklearn.gaussian_process.kernels import RBF, ExpSineSquared, RationalQuadratic, WhiteKernel, DotProduct, ExpSineSquared -import random -from joblib import Parallel, delayed, parallel_backend -import sys -sys.path.insert(0,"/gpfswork/rech/omr/uen17sn/NewSpinUp/lib2") -#from database -import prepare as p1 -import random -#import warnings -#warnings.filterwarnings("ignore") -#warnings.resetwarnings() - -def loadInfo(id_): - dico = np.load(f"/gpfswork/rech/omr/uen17sn/NewSpinUp/datasets/simu_dico.npz",allow_pickle=True) - dico = {key: dico[key] for key in dico.keys()} - for var in dico: dico[var] = dico[var].item() - return dico[id_] - -def createDataFrame(id_,var): - dico = loadInfo(id_) - array = np.array(dico["ts"]) - names = [f"{var}-{i+1}" for i in range(np.shape(array)[1])] - df = pd.DataFrame(array,columns=names) - return df - -def loadPCA(id_): - with open(f"/gpfswork/rech/omr/uen17sn/NewSpinUp/datasets/pca/simu{id_}", 'rb') as file: - return pickle.load(file) - - -class Predictions: - - def __init__(self,id_,var,data=None,info=None,gp=None,w=12): - #simulation cara - self.id = id_ - self.var = var - self.gp = Predictions.defineGP() if gp is None else gp - self.w = w - if data is None: - self.data = createDataFrame(id_,var) - else : - self.data = data - if info is None : - self.info = loadInfo(self.id) - self.info["pca"] = loadPCA(self.id) - #self.info["desc"] = self.info["desc"].item() - else: - self.info=info - self.info["desc"] = self.info["desc"].item() - self.len_ = len(self.data) - #model param - #predictions and metrics - #sef.y_hats, self.metrics, self.y_stds, self.train_lens, self.cy, self.rec_data - - def __len__(self): - return len(self.data) - - ###_______predict, show results and get metrics________### - - @staticmethod - def defineGP(): - long_term_trend_kernel = 0.1*DotProduct(sigma_0=0.0) #+ 0.5*RBF(length_scale=1/2)# + - irregularities_kernel = 10 * ExpSineSquared(length_scale=5/45, periodicity=5/45)#0.5**2*RationalQuadratic(length_scale=5.0, alpha=1.0) + 10 * ExpSineSquared(length_scale=5.0) - noise_kernel = 2*WhiteKernel(noise_level=1)#0.1**2*RBF(length_scale=0.01) + 2*WhiteKernel(noise_level=1) - kernel = irregularities_kernel + noise_kernel +long_term_trend_kernel - return GaussianProcessRegressor(kernel=kernel, normalize_y=False,n_restarts_optimizer=8) - - - def Forecast(self,train_len,steps,jobs=1): - r = Parallel(n_jobs=jobs)(delayed(self.forecast_ts)(c,train_len,steps) for c in range(1,self.data.shape[1]+1)) - y_hats = pd.DataFrame(np.array([r[i][0] for i in range(len(r))]).T, columns=self.data.columns) - y_stds = pd.DataFrame(np.array([r[i][1] for i in range(len(r))]).T, columns=self.data.columns) - metrics = [r[i][2] for i in range(len(r))] - return y_hats, y_stds, metrics - - def forecast_ts(self,n,train_len,steps=0): - mean,std,y_train,y_test,x_train,x_pred = self.prepare(n,train_len,steps) - self.gp.fit(x_train,y_train) - y_hat,y_hat_std = self.gp.predict(x_pred,return_std=True) - y_train,y_hat,y_hat_std = y_train*2*std+mean, y_hat*2*std+mean, y_hat_std*2*std - metrics = None - if y_test is not None: - metrics = Predictions.getMetrics(2,y_hat[train_len:len(self)],y_test) - return y_hat,y_hat_std,metrics - - def prepare(self,n,train_len,steps): - x_train = np.linspace(0,1,train_len).reshape(-1,1) - pas = x_train[1,0]-x_train[0,0] - x_pred = np.arange(0,(len(self)+steps)*pas,pas).reshape(-1,1) - y_train = self.data[self.var+"-"+str(n)].iloc[:train_len].to_numpy() - mean, std = np.nanmean(y_train), np.nanstd(y_train) - y_train = (y_train-mean)/(2.0*std) - y_test = None - if train_len self.current_score_eval] - results=[] - for simu in self.simu_test: - print(f"Processing simulation {simu.id}",end="") - if self.min_train < len(simu)-self.min_test: - train_lens = np.arange(self.min_train,len(simu)-self.min_test,self.steps) - results.append([self.evaluateProcess(simu,train_lens,process) for process in gps_test]) - print("",end="\n") - results = [(process,score) for process,score in zip(gps_test, np.sum(results,axis=0))] - self.scores_test = sorted(results, key=lambda item: item[1], reverse=True) - - -""" - def ForecastNoTest(self, comp, steps, standardize=True): - x_train = np.arange(0,len(self.data)) - y_train = np.array(self.data.iloc[:,:comp]) - x_pred = np.arange(len(self.data),len(self.data)+steps) #REMETTRE 0 len(self.data) - if standardize: - mean,std,x_train,x_pred,y_train = Predictions.standardize(len(self.data),x_train,y_train,x_pred,None) - #yt = self.gp.fit(x_train,y_train) - self.gp.fit(x_train,y_train) - print(self.gp.kernel_) - y_hat,y_std = self.gp.predict(x_pred,return_std=True) - y_hat,y_std = y_hat * 2 * std + mean, y_std * 2 * std - if comp==1 : - y_hat=y_hat.T - y_std=y_std.T - y_hat = pd.DataFrame(y_hat, columns=self.data.columns[:comp]).set_index(np.arange(len(self.data),len(self.data)+steps)) #REMETTRE 0 #len(self.data) - y_std = pd.DataFrame(y_std, columns=self.data.columns[:comp]).set_index(np.arange(len(self.data),len(self.data)+steps)) - return y_hat,y_std - - def Forecast(self, comp, train_lens,jobs=20): - self.train_lens = train_lens - r = Parallel(n_jobs=jobs)(delayed(self.getOneForecast)(comp,t) for t in train_lens) - self.y_hats = [r[i][0] for i in range(len(r))] - self.y_stds = [r[i][1] for i in range(len(r))] - self.metrics = [r[i][2] for i in range(len(r))] - - def getOneForecast(self, comp, train_len): - mean,std,x_train,y_train,x_test,y_test = self.prepare(comp,train_len) - self.gp.fit(x_train,y_train) - y_hat,y_std = self.gp.predict(x_test,return_std=True) - y_hat,y_std = y_hat * 2 * std + mean, y_std * 2 * std - if comp==1 : - y_hat=y_hat.T - y_std=y_std.T - y_hat = pd.DataFrame(y_hat, columns=self.data.columns[:comp]).set_index(np.arange(train_len,len(self.data))) - y_std = pd.DataFrame(y_std, columns=self.data.columns[:comp]).set_index(np.arange(train_len,len(self.data))) - metrics={} - for var in y_hat.columns: - metrics[var] = Predictions.getMetrics(self.w,y_hat[var].values, self.data[var].values[train_len:]) - return y_hat,y_std,metrics - - def prepare(self, comp, train_len,standardize=True): - #define train & test - x_train = np.arange(0,train_len) - y_train = np.array(self.data.iloc[:train_len,:comp]) - x_test = np.arange(train_len,len(self.data)) - y_test = np.array(self.data.iloc[train_len:,:comp]) - if standardize: - return Predictions.standardize(train_len,x_train,y_train,x_test,y_test) - else: - return x_train,y_train,x_test,y_test - - @staticmethod - def standardize(train_len,x_train,y_train,x_test,y_test): - mean = np.nanmean(y_train, axis=None, keepdims=True) - std = np.nanstd (y_train, axis=None, keepdims=True) - x_train = x_train.reshape(-1,1)/train_len - x_test = x_test.reshape(-1,1) /train_len - y_train = (y_train - mean) / (2.0 * std) - if y_test is not None: - y_test = (y_test - mean) / (2.0 * std) - return mean,std,x_train,y_train,x_test,y_test - else: - return mean,std,x_train,x_test,y_train - - def showOneForecast(self,train_len,y_hat,y_std,var="zos-1",color="tab:blue"): - figure = plt.figure(figsize=(10,4)) - if train_len is not None: - plt.plot(self.data[var][:train_len], linestyle="dashed", color="black", alpha=0.8, label = "Train serie") - plt.plot(self.data[var][train_len:], linestyle="dashed", color="black", alpha =0.5,label = "Test serie") - else: - plt.plot(self.data[var][:], linestyle="dashed", color="black", alpha=0.8, label = "Train serie") - #plt.plot(self.data[var][train_len:], linestyle="dashed", color="black", alpha =0.5,label = "Test serie") - #plt.plot(y_hat[var],color=color, label = f"GP forecast") - plt.plot(y_hat[var],color=color, label = f"GP forecast") - plt.fill_between(y_hat.index, y_hat[var]+y_std[var], y_hat[var]-y_std[var], color = color,alpha = 0.2) - plt.title(f"Forecasting {var}") - plt.legend() - plt.show() - """ - -""" - def reconstructNoTest(self,predictions,n,d=None): - rec = [] - if d is None: - self.int_mask = self.info["mask"].astype(np.int32).reshape(self.info["shape"]) - # else: - # self.int_mask = self.info["mask"].astype(np.int32).reshape(self.info["z_size"],self.info["y_size"],self.info["x_size"]) - for t in range(len(predictions)): - if d is None: - map_ = np.zeros((self.info["y_size"],self.info["x_size"]),dtype=np.float32) - else: - map_ = np.zeros((self.info["z_size"],self.info["y_size"],self.info["x_size"]),dtype=np.float32) - arr = np.array(list(predictions.iloc[t,:n]) + [0]*(len(self.info["pca"].components_)-n)) - map_[self.int_mask==1] = self.info["pca"].inverse_transform(arr) - map_[self.int_mask==0] = np.nan - rec.append(map_) - return np.array(rec) - -""" - -""" - def reconstructPredictions(self,n,jobs=10): - rec_mean = Parallel(n_jobs=jobs)(delayed(self.reconstructOnePrediction)(pred,n) for pred in self.y_hats) - rec_stdUpp = Parallel(n_jobs=jobs)(delayed(self.reconstructOnePrediction)(pred+std,n) for pred,std in zip(self.y_hats,self.y_stds)) - rec_stdLow = Parallel(n_jobs=jobs)(delayed(self.reconstructOnePrediction)(pred-std,n) for pred,std in zip(self.y_hats,self.y_stds)) - return rec_mean, rec_stdUpp, rec_stdLow -""" -""" - def reconstructOnePrediction(self,prediction,n): - prediction = np.array(prediction) - rec = [] - for t in range(np.shape(prediction)[0]): - map_ = np.zeros((self.info["y_size"],self.info["x_size"]),dtype=np.float32) - arr = np.array(list(prediction[t,:n]) + [0]*(len(self.info["pca"].components_)-n)) - map_[np.array(self.info["mask"])] = self.info["pca"].inverse_transform(arr) - map_[~np.array(self.info["mask"])] = np.nan - map_ = map_ * 2 * self.info["desc"]["std"] + self.info["desc"]["mean"] - rec.append(map_) - return np.array(rec) -""" -""" #reconstruct test - def reconstruct(self,n): - rec = [] - for t in range(len(self.data)): - map_ = np.zeros((self.info["y_size"],self.info["x_size"]),dtype=np.float32) - arr = np.array(list(self.data.iloc[t,:n].values) + [0]*(len(self.info["pca"].components_)-n)) - map_[np.array(self.info["mask"])] = self.info["pca"].inverse_transform(arr) - map_[~np.array(self.info["mask"])] = np.nan - map_ = map_ * 2 * self.info["desc"]["std"] + self.info["desc"]["mean"] - rec.append(map_) - self.rec_data = rec -""" - - -""" - def getCY(self,var,out=16,f=2.576,jobs=15): - self.cy = Parallel(n_jobs=jobs)(delayed(self.countCY)(m,var,out,f) for m in self.metrics) - - - def countCY(self,metric,var,out,f): - l = [1 if p < m + f*np.sqrt(std) and p > m - f*np.sqrt(std) else 0 for p,m,std in - zip(metric[var]["ma_pred"],metric[var]["ma_true"],metric[var]["std_true"])] - zero = [ind for ind, val in enumerate(l) if val == 0] - for i in range(len(zero)-out): - if (zero[i]+out - zero[i+out]) == 0: - return len(l[:zero[i]])+self.w//2 - return len(l)+self.w//2 - - def showCY(self,metric,cy,var,out,f,color): - y1 = self.w//2 - fig = plt.figure(figsize=(12,3)) - axis = np.arange(y1,(len(metric[f"{var}"]["ma_true"])+y1)) - plt.plot(axis, metric[f"{var}"]["ma_true"], linestyle="dashed",color="black",alpha=0.6,label="test") - plt.fill_between( - axis, - metric[f"{var}"]["ma_true"] - f*np.sqrt(metric[f"{var}"]["std_true"]), - metric[f"{var}"]["ma_true"] + f*np.sqrt(metric[f"{var}"]["std_true"]), - color = "tab:grey", - alpha = 0.2) - plt.plot(axis, metric[f"{var}"]["ma_pred"], color=color,label="1 eof regression") - plt.axvline(cy,color = color,linewidth=0.7) - plt.legend() - plt.title(f"99% confidence interval of the test serie"); -""" - -""" - def getOneRmse(self,prediction,train_len): - return Predictions.rmseValues(prediction,np.array(self.rec_data)[train_len:]) - - def rmseValues(a,b): - n = np.shape(a)[1] * np.shape(a)[2] - Predictions.nbNan(a[0]) - return np.sqrt(np.nansum(np.nansum((a-b)**2,axis=1),axis=1)/n) #*2*info["std"] - - def rmseMap(a,b): - t = np.shape(a)[0] - return np.sqrt(np.sum((a-b)**2,axis=0)/t) #*2*#self.info["std"] - - def absoluteValues(a,b): - n = np.shape(a)[1] * np.shape(a)[2] - Predictions.nbNan(a[0]) - return np.nansum(np.nansum(np.abs(a-b),axis=1),axis=1)/n - - def absoluteMap(a,b): - t = np.shape(a)[0] - return np.sum(np.abs(a-b),axis=0)/t -""" \ No newline at end of file diff --git a/.ipynb_checkpoints/jump2-checkpoint.py b/.ipynb_checkpoints/jump2-checkpoint.py deleted file mode 100644 index 8716d27..0000000 --- a/.ipynb_checkpoints/jump2-checkpoint.py +++ /dev/null @@ -1,287 +0,0 @@ -import os -import copy -import random -import numpy as np -import xarray as xr -import pandas as pd -import matplotlib.pyplot as plt -import sklearn.decomposition -from sklearn.decomposition import PCA -import joblib -from joblib import Parallel, delayed, parallel_backend -from sklearn.preprocessing import StandardScaler -from sklearn.gaussian_process import GaussianProcessRegressor -from sklearn.gaussian_process.kernels import RBF, ExpSineSquared, RationalQuadratic, WhiteKernel, DotProduct#, Matérn -import pickle -import warnings -warnings.filterwarnings("ignore") - - -#file #Select the file where the prepared simu was saved -#var #Select the var you want to forecast -def load_ts(file,var): - dico = np.load(file+f"/{var}.npz",allow_pickle=True) - dico = {key: dico[key] for key in dico.keys()} - df = pd.DataFrame(dico["ts"],columns=[f"{var}-{i+1}" for i in range(np.shape(dico["ts"])[1])]) - with open(file+f"/pca_{var}", 'rb') as file: - dico["pca"] = pickle.load(file) - return df,dico - - -class Simulation: - - ################################## - ## ## - ## LOAD AND PREPARE A SIMU ## - ## ## - ################################## - - def __init__(self,id_,path,term,start=0,end=None,comp=0.9,ye=True,ssca=False): #choose jobs 3 if 2D else 1 - self.path = path - self.id = id_ - self.term = term - self.files = Simulation.getData(path,term) - self.start = start - self.end = end - self.ye = ye - self.comp = comp - self.len = 0 - self.desc = {} - self.getAttributes() #self time_dim, y_size, x_size, - self.getSimu() #self simu , desc {"mean","std","min","max"} - - #### Load files and dimensions info ### - - def getData(path,term): - grid = [] - for file in sorted(os.listdir(path)): - if term+"." in file: #add param!="" - grid.append(path+"/"+file) - return grid - - def getAttributes(self): - array = xr.open_dataset(self.files[0], decode_times=False,chunks={"time": 200, "x":120}) - self.time_dim = list(array.dims)[3] - self.y_size = array.sizes['y'] - self.x_size = array.sizes['x'] - if "deptht" in array[self.term].dims: - self.z_size = array.sizes['deptht'] - self.shape = (self.z_size,self.y_size,self.x_size) - elif "olevel" in array[self.term].dims: - self.z_size = array.sizes['olevel'] - self.shape = (self.z_size,self.y_size,self.x_size) - else: - self.z_size = None - self.shape = (self.y_size,self.x_size) - - #### Load simulation ### - - def getSimu(self): - #array = list(Parallel(jobs)(delayed(self.loadFile)(file) for file in self.files)) - array = [self.loadFile(file) for file in self.files if self.len self.end: - array = array[0:self.end-self.len] - self.len = self.len + array.sizes[self.time_dim] - else: - self.len = self.len + array.sizes[self.time_dim] - return array.load() - - - ######################### - # prepare simulation # - ######################### - - def prepare(self): - if self.end is not None: - self.simulation = self.simulation[self.start:self.end] - else: - self.simulation = self.simulation[self.start:] - self.len = np.shape(self.simulation)[0] - self.removeClosedSeas() - if self.ye==False: - self.removeSSCA() - self.desc.update({"mean":np.nanmean(self.simulation),"std":np.nanstd(self.simulation), - "min":np.nanmin(self.simulation),"max":np.nanmax(self.simulation)}) - self.standardize() - self.simulation = self.simulation.values - - def removeSSCA(self): - array = self.simulation - ssca = np.array(array).reshape((self.len//12, 12)+ self.shape) #np.array(array[self.term]) - ssca = np.mean(ssca, axis=0) - ssca_extended = np.tile(ssca, (self.len//12, 1, 1)) - self.desc["ssca"] = ssca - self.simulation = array - ssca_extended - - - def removeClosedSeas(self): - array = self.simulation - y_range = [slice(240, 266),slice(235, 276),slice(160, 201)] #mer noir, grands lacs, lac victoria - x_range = [slice(195, 213),slice(330, 351),slice(310, 325)] - for y,x in zip(y_range,x_range): - array = array.where((array['x'] < x.start) | (array['x'] >= x.stop) | - (array['y'] < y.start) | (array['y'] >= y.stop),drop=True) - self.simulation = array - - def standardize(self): - self.simulation = (self.simulation - self.desc["mean"]) / (2*self.desc["std"]) - - ################## - # Compute PCA # - ################## - - def applyPCA(self): - array = self.simulation.reshape(self.len,-1) - self.bool_mask = np.asarray(np.isfinite(array[0,:]), dtype=bool) - array_masked = array[:,self.bool_mask] - pca = PCA(self.comp, whiten=False) - self.components = pca.fit_transform(array_masked) - self.pca = pca - - def getPC(self,n): - map_ = np.zeros((np.product(self.shape)), dtype=float) - map_[~self.bool_mask] = np.nan - map_[self.bool_mask] = self.pca.components_[n] - map_ = map_.reshape(self.shape) - map_ = 2 * map_ * self.desc["std"] + self.desc["mean"] - return map_ - - ################## - # Save in db # - ################## - - def makeDico(self): - dico = dict() - dico["ts"] = self.components.tolist() - dico["mask"] = self.bool_mask - dico["desc"] = self.desc - dico["ssca"] = 0 - dico["cut"] = self.start - dico["x_size"]= self.x_size - dico["y_size"]= self.y_size - if self.z_size is not None: - dico["z_size"]= self.z_size - dico["shape"]= self.shape - return dico - - -class Predictions: - - ################################# - ## ## - ## Forecast & reconstruct ## - ## ## - ################################# - - - def __init__(self,id_,var,data=None,info=None,gp=None,w=12): - self.id = id_ - self.var = var - self.gp = Predictions.defineGP() if gp is None else gp - self.w = w - self.data = data - self.info=info - self.info["desc"] = self.info["desc"].item() - self.len_ = len(self.data) - - def __len__(self): - return len(self.data) - - ################## - # Forecast # - ################## - - @staticmethod - def defineGP(): - long_term_trend_kernel = 0.1*DotProduct(sigma_0=0.0) #+ 0.5*RBF(length_scale=1/2)# + - irregularities_kernel = 10 * ExpSineSquared(length_scale=5/45, periodicity=5/45)#0.5**2*RationalQuadratic(length_scale=5.0, alpha=1.0) + 10 * ExpSineSquared(length_scale=5.0) - noise_kernel = 2*WhiteKernel(noise_level=1)#0.1**2*RBF(length_scale=0.01) + 2*WhiteKernel(noise_level=1) - kernel = irregularities_kernel + noise_kernel +long_term_trend_kernel - return GaussianProcessRegressor(kernel=kernel, normalize_y=False,n_restarts_optimizer=8) - - - def Forecast(self,train_len,steps,jobs=1): - r = Parallel(n_jobs=jobs)(delayed(self.forecast_ts)(c,train_len,steps) for c in range(1,self.data.shape[1]+1)) - y_hats = pd.DataFrame(np.array([r[i][0] for i in range(len(r))]).T, columns=self.data.columns) - y_stds = pd.DataFrame(np.array([r[i][1] for i in range(len(r))]).T, columns=self.data.columns) - metrics = [r[i][2] for i in range(len(r))] - return y_hats, y_stds, metrics - - def forecast_ts(self,n,train_len,steps=0): - random.seed(20) - mean,std,y_train,y_test,x_train,x_pred = self.prepare(n,train_len,steps) - self.gp.fit(x_train,y_train) - y_hat,y_hat_std = self.gp.predict(x_pred,return_std=True) - y_train,y_hat,y_hat_std = y_train*2*std+mean, y_hat*2*std+mean, y_hat_std*2*std - metrics = None - if y_test is not None: - metrics = Predictions.getMetrics(2,y_hat[train_len:len(self)],y_test) - return y_hat,y_hat_std,metrics - - def prepare(self,n,train_len,steps): - x_train = np.linspace(0,1,train_len).reshape(-1,1) - pas = x_train[1,0]-x_train[0,0] - x_pred = np.arange(0,(len(self)+steps)*pas,pas).reshape(-1,1) - y_train = self.data[self.var+"-"+str(n)].iloc[:train_len].to_numpy() - mean, std = np.nanmean(y_train), np.nanstd(y_train) - y_train = (y_train-mean)/(2.0*std) - y_test = None - if train_len sea surface height (also ssh) - (t,y,z) - so -> salinity - (t,z,y,x) - thetao -> temperature - (t,z,y,x) - - Returns: - list: List of files related to the simulation. - """ - grid = [] - for file in sorted(os.listdir(path)): - if term+"." in file: #add param!="" - grid.append(path+"/"+file) - return grid - - def getAttributes(self): - """ - Get attributes of the simulation data. - """ - array = xr.open_dataset(self.files[-1], decode_times=False,chunks={"time": 200, "x":120}) - self.time_dim = list(array.dims)[3] - self.y_size = array.sizes['y'] - self.x_size = array.sizes['x'] - if "deptht" in array[self.term].dims: - self.z_size = array.sizes['deptht'] - self.shape = (self.z_size,self.y_size,self.x_size) - elif "olevel" in array[self.term].dims: - self.z_size = array.sizes['olevel'] - self.shape = (self.z_size,self.y_size,self.x_size) - else: - self.z_size = None - self.shape = (self.y_size,self.x_size) - #self.getSSCA(array) - - #### Load simulation ### - - def getSimu(self): - """ - Load simulation data. - """ - #array = list(Parallel(jobs)(delayed(self.loadFile)(file) for file in self.files)) - array = [self.loadFile(file) for file in self.files if self.len self.end: - array = array[0:self.end-self.len] - self.len = self.len + array.sizes[self.time_dim] - else: - self.len = self.len + array.sizes[self.time_dim] - return array.load() - - - ######################### - # prepare simulation # - ######################### - - def prepare(self,stand=True): - """ - Prepare the simulation data by slicing it based on start and end indices, updating length and descriptive statistics, - standardizing if specified. - - Parameters: - stand (bool, optional): Flag indicating whether to standardize the simulation data. Defaults to True. - """ - if self.end is not None: - self.simulation = self.simulation[self.start:self.end] - else: - self.simulation = self.simulation[self.start:] - self.len = np.shape(self.simulation)[0] - #self.removeClosedSeas() - self.desc.update({"mean":np.nanmean(self.simulation),"std":np.nanstd(self.simulation), - "min":np.nanmin(self.simulation),"max":np.nanmax(self.simulation)}) - if stand: - self.standardize() - self.simulation = self.simulation.values - - def getSSCA(self,array): - """ - Extract the seasonality data from the simulation. Not used : we import yearly data - - Parameters: - array (xarray.Dataset): The dataset containing simulation data. - """ - array = array[self.term].values - n = np.shape(array)[0]//12 *12 - array = array[-n:] - ssca = np.array(array).reshape((n//12, 12)+ self.shape) #np.array(array[self.term]) - ssca = np.mean(ssca, axis=0) - ssca_extended = np.tile(ssca, (n//12, 1, 1)) - self.desc["ssca"] = sscad - if self.ye==False: - self.simulation = array - ssca_extended - - - def removeClosedSeas(self): - """ - Remove closed seas from the simulation data. Not used : we don't have the specific mask to fill with predictions - """ - array = self.simulation - y_range = [slice(240, 266),slice(235, 276),slice(160, 201)] #mer noir, grands lacs, lac victoria - x_range = [slice(195, 213),slice(330, 351),slice(310, 325)] - for y,x in zip(y_range,x_range): - array = array.where((array['x'] < x.start) | (array['x'] >= x.stop) | - (array['y'] < y.start) | (array['y'] >= y.stop),drop=True) - self.simulation = array - - def standardize(self): - """ - Standardize the simulation data. - """ - self.simulation = (self.simulation - self.desc["mean"]) / (2*self.desc["std"]) - - ################## - # Compute PCA # - ################## - - def applyPCA(self): - """ - Apply Principal Component Analysis (PCA) to the simulation data. - """ - array = self.simulation.reshape(self.len,-1) - self.bool_mask = np.asarray(np.isfinite(array[0,:]), dtype=bool) - array_masked = array[:,self.bool_mask] - pca = PCA(self.comp, whiten=False) - self.components = pca.fit_transform(array_masked) - self.pca = pca - - def getPC(self,n): - """ - Get principal component map for the specified component. - - Parameters: - n (int): The component number. - - Returns: - numpy.ndarray: The principal component map. - """ - map_ = np.zeros((np.product(self.shape)), dtype=float) - map_[~self.bool_mask] = np.nan - map_[self.bool_mask] = self.pca.components_[n] - map_ = map_.reshape(self.shape) - map_ = 2 * map_ * self.desc["std"] + self.desc["mean"] - return map_ - - - ############################### NOT USED IN THE MAIN.PY ############################### - - def rmseOfPCA(self,n): - """ - Calculate Root Mean Square Error (RMSE) for PCA reconstruction. - - Parameters: - n (int): The number of components used for reconstruction. - - Returns: - tuple: A tuple containing: - - numpy.ndarray: The reconstructed data. - - numpy.ndarray: RMSE values. - - numpy.ndarray: RMSE map. - """ - reconstruction = self.reconstruct(n) - rmse_values = self.rmseValues(reconstruction)*2*self.desc["std"] - rmse_map = self.rmseMap(reconstruction) *2*self.desc["std"] - return reconstruction, rmse_values, rmse_map - - def reconstruct(self, n): - """ - Reconstruct data using specified number of principal components. - - Parameters: - n (int): The number of components used for reconstruction. - - Returns: - numpy.ndarray: The reconstructed data. - """ - rec = [] - #int_mask = # Convert the boolean mask to int mask once - self.int_mask = self.bool_mask.astype(np.int32).reshape(self.shape) # Reshape to match the shape of map_ - for t in range(len(self.components)): - map_ = np.zeros(self.shape, dtype=np.float32) - arr = np.array(list(self.components[t, :n]) + [0] * (len(self.pca.components_) - n)) - map_[self.int_mask==1] = self.pca.inverse_transform(arr) - map_[self.int_mask==0] = np.nan - rec.append(map_) - return np.array(rec) - - def rmseValues(self,reconstruction): - """ - Calculate RMSE values. - - Parameters: - reconstruction (numpy.ndarray): The reconstructed data. - - Returns: - numpy.ndarray: RMSE values. - """ - n = np.product(self.shape) - self.nbNan() - return np.sqrt(np.nansum(np.nansum((self.simulation[:]-reconstruction)**2,axis=-1),axis=-1)/n) - - def rmseMap(self,reconstruction): - """ - Calculate RMSE map. - - Parameters: - reconstruction (numpy.ndarray): The reconstructed data. - - Returns: - numpy.ndarray: RMSE map. - """ - t = self.len - return np.sqrt(np.sum((self.simulation[:]-reconstruction)**2,axis=0)/t) - - def nbNan(self): - """ - Count the number of NaN values in the data. - - Returns: - int: Number of NaN values. - """ - return np.sum(self.int_mask==False) - - ####################################################################################################### - - ################## - # Save in db # - ################## - - def makeDico(self): - """ - Create a dictionary containing simulation data, descriptive statistics, and other relevant information. - - Returns: - dict: A dictionary containing simulation data and information. - """ - dico = dict() - dico["ts"] = self.components.tolist() - dico["mask"] = self.bool_mask - dico["desc"] = self.desc - dico["cut"] = self.start - dico["x_size"]= self.x_size - dico["y_size"]= self.y_size - if self.z_size is not None: - dico["z_size"]= self.z_size - dico["shape"]= self.shape - return dico - - def save(self,file,term): - """ - Save the simulation data and information to files. - - Parameters: - file (str): The path to the directory where the files will be saved. - term (str): The term used in the filenames. - """ - simu_dico = self.makeDico() - if not os.path.exists(file): #save infos - os.makedirs(file) - with open(f"{file}/{term}/pca_{term}", 'wb') as f: - pickle.dump(self.pca, f) - np.savez(f"{file}/{term}/{term}", **simu_dico) - - -class Predictions: - - ################################# - ## ## - ## Forecast & reconstruct ## - ## ## - ################################# - - - def __init__(self,var,data=None,info=None,gp=None,w=12): - self.var = var - self.gp = Predictions.defineGP() if gp is None else gp - self.w = w - self.data = data - self.info=info - self.info["desc"] = self.info["desc"].item() - self.len_ = len(self.data) - - def __len__(self): - return len(self.data) - - ################## - # Forecast # - ################## - - @staticmethod - def defineGP(): - long_term_trend_kernel = 0.1*DotProduct(sigma_0=0.0) #+ 0.5*RBF(length_scale=1/2)# + - irregularities_kernel = 10 * ExpSineSquared(length_scale=5/45, periodicity=5/45)#0.5**2*RationalQuadratic(length_scale=5.0, alpha=1.0) + 10 * ExpSineSquared(length_scale=5.0) - noise_kernel = 2*WhiteKernel(noise_level=1)#0.1**2*RBF(length_scale=0.01) + 2*WhiteKernel(noise_level=1) - kernel = irregularities_kernel + noise_kernel +long_term_trend_kernel - return GaussianProcessRegressor(kernel=kernel, normalize_y=False,n_restarts_optimizer=8) - - - def Forecast(self,train_len,steps,jobs=1): - r = Parallel(n_jobs=jobs)(delayed(self.forecast_ts)(c,train_len,steps) for c in range(1,self.data.shape[1]+1)) - y_hats = pd.DataFrame(np.array([r[i][0] for i in range(len(r))]).T, columns=self.data.columns) - y_stds = pd.DataFrame(np.array([r[i][1] for i in range(len(r))]).T, columns=self.data.columns) - metrics = [r[i][2] for i in range(len(r))] - return y_hats, y_stds, metrics - - def forecast_ts(self,n,train_len,steps=0): - random.seed(20) - mean,std,y_train,y_test,x_train,x_pred = self.prepare(n,train_len,steps) - self.gp.fit(x_train,y_train) - y_hat,y_hat_std = self.gp.predict(x_pred,return_std=True) - y_train,y_hat,y_hat_std = y_train*2*std+mean, y_hat*2*std+mean, y_hat_std*2*std - metrics = None - if y_test is not None: - metrics = Predictions.getMetrics(2,y_hat[train_len:len(self)],y_test) - return y_hat,y_hat_std,metrics - - def prepare(self,n,train_len,steps): - x_train = np.linspace(0,1,train_len).reshape(-1,1) - pas = x_train[1,0]-x_train[0,0] - x_pred = np.arange(0,(len(self)+steps)*pas,pas).reshape(-1,1) - y_train = self.data[self.var+"-"+str(n)].iloc[:train_len].to_numpy() - mean, std = np.nanmean(y_train), np.nanstd(y_train) - y_train = (y_train-mean)/(2.0*std) - y_test = None - if train_len self.end: - array = array[0:self.end-self.len] - self.len = self.len + array.sizes[self.time_dim] - else: - self.len = self.len + array.sizes[self.time_dim] - return array.load() - - - ######################### - # prepare simulation # - ######################### - - def prepare(self): - if self.end is not None: - self.simulation = self.simulation[self.start:self.end] - else: - self.simulation = self.simulation[self.start:] - self.len = np.shape(self.simulation)[0] - self.removeClosedSeas() - if self.ye==False: - self.removeSSCA() - self.desc.update({"mean":np.nanmean(self.simulation),"std":np.nanstd(self.simulation), - "min":np.nanmin(self.simulation),"max":np.nanmax(self.simulation)}) - self.standardize() - self.simulation = self.simulation.values - - def removeSSCA(self): - array = self.simulation - ssca = np.array(array).reshape((self.len//12, 12)+ self.shape) #np.array(array[self.term]) - ssca = np.mean(ssca, axis=0) - ssca_extended = np.tile(ssca, (self.len//12, 1, 1)) - self.desc["ssca"] = ssca - self.simulation = array - ssca_extended - - - def removeClosedSeas(self): - array = self.simulation - y_range = [slice(240, 266),slice(235, 276),slice(160, 201)] #mer noir, grands lacs, lac victoria - x_range = [slice(195, 213),slice(330, 351),slice(310, 325)] - for y,x in zip(y_range,x_range): - array = array.where((array['x'] < x.start) | (array['x'] >= x.stop) | - (array['y'] < y.start) | (array['y'] >= y.stop),drop=True) - self.simulation = array - - def standardize(self): - self.simulation = (self.simulation - self.desc["mean"]) / (2*self.desc["std"]) - - ################## - # Compute PCA # - ################## - - def applyPCA(self): - array = self.simulation.reshape(self.len,-1) - self.bool_mask = np.asarray(np.isfinite(array[0,:]), dtype=bool) - array_masked = array[:,self.bool_mask] - pca = PCA(self.comp, whiten=False) - self.components = pca.fit_transform(array_masked) - self.pca = pca - - def getPC(self,n): - map_ = np.zeros((np.product(self.shape)), dtype=float) - map_[~self.bool_mask] = np.nan - map_[self.bool_mask] = self.pca.components_[n] - map_ = map_.reshape(self.shape) - map_ = 2 * map_ * self.desc["std"] + self.desc["mean"] - return map_ - - ###################################################################### - - def rmseOfPCA(self,n): - reconstruction = self.reconstruct(n) - rmse_values = self.rmseValues(reconstruction)*2*self.desc["std"] - rmse_map = self.rmseMap(reconstruction) *2*self.desc["std"] - return reconstruction, rmse_values, rmse_map - - def reconstruct(self, n): - rec = [] - #int_mask = # Convert the boolean mask to int mask once - self.int_mask = self.bool_mask.astype(np.int32).reshape(self.shape) # Reshape to match the shape of map_ - for t in range(len(self.components)): - map_ = np.zeros(self.shape, dtype=np.float32) - arr = np.array(list(self.components[t, :n]) + [0] * (len(self.pca.components_) - n)) - map_[self.int_mask==1] = self.pca.inverse_transform(arr) - map_[self.int_mask==0] = np.nan - rec.append(map_) - return np.array(rec) - - def rmseValues(self,reconstruction): - n = np.product(self.shape) - self.nbNan() - return np.sqrt(np.nansum(np.nansum((self.simulation[:]-reconstruction)**2,axis=-1),axis=-1)/n) - - def rmseMap(self,reconstruction): - t = self.len - return np.sqrt(np.sum((self.simulation[:]-reconstruction)**2,axis=0)/t) - - def nbNan(self): - return np.sum(self.int_mask==False) - - ################## - # Save in db # - ################## - - def makeDico(self): - dico = dict() - dico["ts"] = self.components.tolist() - dico["mask"] = self.bool_mask - dico["desc"] = self.desc - dico["ssca"] = 0 - dico["cut"] = self.start - dico["x_size"]= self.x_size - dico["y_size"]= self.y_size - if self.z_size is not None: - dico["z_size"]= self.z_size - dico["shape"]= self.shape - return dico - - def save(self,file): - simu_dico = np.load(file+".npz",allow_pickle=True) - simu_dico = {key: simu_dico[key] for key in simu_dico.keys()} - for var in simu_dico: simu_dico[var] = simu_dico[var].item() - simu_dico[self.id] = self.makeDico() - np.savez(file, **simu_dico) - with open(f"/gpfswork/rech/omr/uen17sn/NewSpinUp/datasets/pca/simu{self.id}", 'wb') as file: - pickle.dump(self.pca, file) - - - -def loadInfo(id_): - dico = np.load(f"/gpfswork/rech/omr/uen17sn/NewSpinUp/datasets/simu_dico.npz",allow_pickle=True) - dico = {key: dico[key] for key in dico.keys()} - for var in dico: dico[var] = dico[var].item() - return dico[id_] - -def createDataFrame(id_,var): - dico = loadInfo(id_) - array = np.array(dico["ts"]) - names = [f"{var}-{i+1}" for i in range(np.shape(array)[1])] - df = pd.DataFrame(array,columns=names) - return df - -def loadPCA(id_): - with open(f"/gpfswork/rech/omr/uen17sn/NewSpinUp/datasets/pca/simu{id_}", 'rb') as file: - return pickle.load(file) - - -class Predictions: - - def __init__(self,id_,var,data=None,info=None,gp=None,w=12): - #simulation cara - self.id = id_ - self.gp = Predictions.defineGP() if gp is None else gp - self.w = w - if data is None: - self.data = createDataFrame(id_,var) - else : - self.data = data - if info is None : - self.info = loadInfo(self.id) - self.info["pca"] = loadPCA(self.id) - #self.info["desc"] = self.info["desc"].item() - else: - self.info=info - self.info["desc"] = self.info["desc"].item() - #model param - #predictions and metrics - #sef.y_hats, self.metrics, self.y_stds, self.train_lens, self.cy, self.rec_data - - def __len__(self): - return len(self.data) - - ###_______predict, show results and get metrics________### - - @staticmethod - def defineGP(): - long_term_trend_kernel = 50.0**2*RBF(length_scale=100.0) - irregularities_kernel = 0.5**2*RationalQuadratic(length_scale=5.0, alpha=1.0) - noise_kernel = 0.1**2*RBF(length_scale=0.01) + 2*WhiteKernel(noise_level=1) - kernel = long_term_trend_kernel + irregularities_kernel + noise_kernel - return GaussianProcessRegressor(kernel=kernel, normalize_y=False,n_restarts_optimizer=1) - - def ForecastNoTest(self, comp, steps, standardize=True): - x_train = np.arange(0,len(self.data)) - y_train = np.array(self.data.iloc[:,:comp]) - x_pred = np.arange(len(self.data),len(self.data)+steps) - if standardize: - mean,std,x_train,x_pred,y_train = Predictions.standardize(len(self.data),x_train,y_train,x_pred,None) - self.gp.fit(x_train,y_train) - y_hat,y_std = self.gp.predict(x_pred,return_std=True) - y_hat,y_std = y_hat * 2 * std + mean, y_std * 2 * std - if comp==1 : - y_hat=y_hat.T - y_std=y_std.T - y_hat = pd.DataFrame(y_hat, columns=self.data.columns[:comp]).set_index(np.arange(len(self.data),len(self.data)+steps)) - y_std = pd.DataFrame(y_std, columns=self.data.columns[:comp]).set_index(np.arange(len(self.data),len(self.data)+steps)) - return y_hat,y_std - - def Forecast(self, comp, train_lens,jobs=20): - self.train_lens = train_lens - r = Parallel(n_jobs=jobs)(delayed(self.getOneForecast)(comp,t) for t in train_lens) - self.y_hats = [r[i][0] for i in range(len(r))] - self.y_stds = [r[i][1] for i in range(len(r))] - self.metrics = [r[i][2] for i in range(len(r))] - - def getOneForecast(self, comp, train_len): - mean,std,x_train,y_train,x_test,y_test = self.prepare(comp,train_len) - self.gp.fit(x_train,y_train) - y_hat,y_std = self.gp.predict(x_test,return_std=True) - y_hat,y_std = y_hat * 2 * std + mean, y_std * 2 * std - if comp==1 : - y_hat=y_hat.T - y_std=y_std.T - y_hat = pd.DataFrame(y_hat, columns=self.data.columns[:comp]).set_index(np.arange(train_len,len(self.data))) - y_std = pd.DataFrame(y_std, columns=self.data.columns[:comp]).set_index(np.arange(train_len,len(self.data))) - metrics={} - for var in y_hat.columns: - metrics[var] = Predictions.getMetrics(self.w,y_hat[var].values, self.data[var].values[train_len:]) - return y_hat,y_std,metrics - - def prepare(self, comp, train_len,standardize=True): - #define train & test - x_train = np.arange(0,train_len) - y_train = np.array(self.data.iloc[:train_len,:comp]) - x_test = np.arange(train_len,len(self.data)) - y_test = np.array(self.data.iloc[train_len:,:comp]) - if standardize: - return Predictions.standardize(train_len,x_train,y_train,x_test,y_test) - else: - return x_train,y_train,x_test,y_test - - @staticmethod - def standardize(train_len,x_train,y_train,x_test,y_test): - mean = np.nanmean(y_train, axis=None, keepdims=True) - std = np.nanstd (y_train, axis=None, keepdims=True) - x_train = x_train.reshape(-1,1)/train_len - x_test = x_test.reshape(-1,1) /train_len - y_train = (y_train - mean) / (2.0 * std) - if y_test is not None: - y_test = (y_test - mean) / (2.0 * std) - return mean,std,x_train,y_train,x_test,y_test - else: - return mean,std,x_train,x_test,y_train - - @staticmethod - def getMetrics(w,y_hat,y_test): - ma_test = np.convolve(y_test/w, np.ones(w), mode="valid") - ma_pred = np.convolve(y_hat /w, np.ones(w), mode="valid") - dist = np.convolve((y_hat-y_test)/w, np.ones(w), mode="valid") - mse = np.convolve(((y_hat-y_test)**2)/w, np.ones(w), mode="valid") - dist_max,std=[],[] - for i in range(w,len(y_hat)+1): - windowT = y_test[i-w:i] - windowH = y_hat[i-w:i] - #maxi/mini - maxi = np.max(windowT)-np.mean(windowT) - mini = np.mean(windowT)-np.min(windowT) - dist_max.append(max(maxi,mini)) - #std - std.append(np.std(windowT,ddof=1)) - return {"ma_true":ma_test,"ma_pred":ma_pred,"dist":dist, "dist_max":dist_max,"mse":mse,"std_true":np.array(std)} - - def showOneForecast(self,train_len,y_hat,y_std,var="zos-1",color="tab:blue"): - figure = plt.figure(figsize=(10,4)) - if train_len is not None: - plt.plot(self.data[var][:train_len], linestyle="dashed", color="black", alpha=0.8, label = "Train serie") - plt.plot(self.data[var][train_len:], linestyle="dashed", color="black", alpha =0.5,label = "Test serie") - else: - plt.plot(self.data[var][:], linestyle="dashed", color="black", alpha=0.8, label = "Train serie") - #plt.plot(self.data[var][train_len:], linestyle="dashed", color="black", alpha =0.5,label = "Test serie") - #plt.plot(y_hat[var],color=color, label = f"GP forecast") - plt.plot(y_hat[var],color=color, label = f"GP forecast") - plt.fill_between(y_hat.index, y_hat[var]+y_std[var], y_hat[var]-y_std[var], color = color,alpha = 0.2) - plt.title(f"Forecasting {var}") - plt.legend() - plt.show() - - - - - ###________Reconstruct predicitons________### - - def reconstructNoTest(self,predictions,n,d=None): - rec = [] - if d is None: - self.int_mask = self.info["mask"].astype(np.int32).reshape(self.info["y_size"],self.info["x_size"]) - else: - self.int_mask = self.info["mask"].astype(np.int32).reshape(self.info["z_size"],self.info["y_size"],self.info["x_size"]) - for t in range(len(predictions)): - if d is None: - map_ = np.zeros((self.info["y_size"],self.info["x_size"]),dtype=np.float32) - else: - map_ = np.zeros((self.info["z_size"],self.info["y_size"],self.info["x_size"]),dtype=np.float32) - arr = np.array(list(predictions.iloc[t,:n]) + [0]*(len(self.info["pca"].components_)-n)) - map_[self.int_mask==1] = self.info["pca"].inverse_transform(arr) - map_[self.int_mask==0] = np.nan - rec.append(map_) - return np.array(rec) - - - def reconstructPredictions(self,n,jobs=10): - rec_mean = Parallel(n_jobs=jobs)(delayed(self.reconstructOnePrediction)(pred,n) for pred in self.y_hats) - rec_stdUpp = Parallel(n_jobs=jobs)(delayed(self.reconstructOnePrediction)(pred+std,n) for pred,std in zip(self.y_hats,self.y_stds)) - rec_stdLow = Parallel(n_jobs=jobs)(delayed(self.reconstructOnePrediction)(pred-std,n) for pred,std in zip(self.y_hats,self.y_stds)) - return rec_mean, rec_stdUpp, rec_stdLow - - def reconstructOnePrediction(self,prediction,n): - prediction = np.array(prediction) - rec = [] - for t in range(np.shape(prediction)[0]): - map_ = np.zeros((self.info["y_size"],self.info["x_size"]),dtype=np.float32) - arr = np.array(list(prediction[t,:n]) + [0]*(len(self.info["pca"].components_)-n)) - map_[np.array(self.info["mask"])] = self.info["pca"].inverse_transform(arr) - map_[~np.array(self.info["mask"])] = np.nan - map_ = map_ * 2 * self.info["desc"]["std"] + self.info["desc"]["mean"] - rec.append(map_) - return np.array(rec) - - #reconstruct test - def reconstruct(self,n): - rec = [] - for t in range(len(self.data)): - map_ = np.zeros((self.info["y_size"],self.info["x_size"]),dtype=np.float32) - arr = np.array(list(self.data.iloc[t,:n].values) + [0]*(len(self.info["pca"].components_)-n)) - map_[np.array(self.info["mask"])] = self.info["pca"].inverse_transform(arr) - map_[~np.array(self.info["mask"])] = np.nan - map_ = map_ * 2 * self.info["desc"]["std"] + self.info["desc"]["mean"] - rec.append(map_) - self.rec_data = rec - - ###________Get RMSE of the predicitons________### - - def getOneRmse(self,prediction,train_len): - return Predictions.rmseValues(prediction,np.array(self.rec_data)[train_len:]) - - def rmseValues(a,b): - n = np.shape(a)[1] * np.shape(a)[2] - Predictions.nbNan(a[0]) - return np.sqrt(np.nansum(np.nansum((a-b)**2,axis=1),axis=1)/n) #*2*info["std"] - - def rmseMap(a,b): - t = np.shape(a)[0] - return np.sqrt(np.sum((a-b)**2,axis=0)/t) #*2*#self.info["std"] - - def absoluteValues(a,b): - n = np.shape(a)[1] * np.shape(a)[2] - Predictions.nbNan(a[0]) - return np.nansum(np.nansum(np.abs(a-b),axis=1),axis=1)/n - - def absoluteMap(a,b): - t = np.shape(a)[0] - return np.sum(np.abs(a-b),axis=0)/t - - def nbNan(carte): - return np.sum(np.isnan(carte)) - - \ No newline at end of file diff --git a/.ipynb_checkpoints/main-checkpoint.py b/.ipynb_checkpoints/main-checkpoint.py deleted file mode 100644 index 5e73245..0000000 --- a/.ipynb_checkpoints/main-checkpoint.py +++ /dev/null @@ -1,116 +0,0 @@ -import numpy as np -import pandas as pd -import matplotlib.pyplot as plt -import os -import pickle -import sys -sys.path.insert(0,"/home/mtissot/SpinUp/jumper/") -from jump2 import Simulation, Predictions, load_ts -import random - -#term #Enter the name of the variable -#simu_path #Enter the simulation path -#id_ #Select the id - 106 if path6, 104 if path4 - Not really imp anymore -#ye #Transform monthly simulation to yearly simulation -#start #Start of the simu : 0 to keep spin up / t to cut the spin up -#end #End of the simu -#comp #Explained variance ratio for the pca -#file_save #File to save prepared simu - -def prepare(term,simu_path, id_, start, end, ye, comp, file_save): - simu = Simulation(path=simu_path,id_=id_,start=start,end=end,ye=ye,comp=comp,term=term) #Load yearly or monthly simulations - print(f"{term} loaded") - simu.prepare() #Prepare simulations : start to end - removeClosedSeas - (removeSSCA) - standardize - to numpy - print(f"{term} prepared") - simu.applyPCA() #Exctract time series through PCA - print(f"PCA applied on {term}") - simu_dico = simu.makeDico() #Create dico: ts - mask - desc -(ssca) - cut(=start) - x_size - y_size - (z_size) - shape - print(f"{term} to dictionnary") - if not os.path.exists(file_save): #save infos - os.makedirs(file_save) - with open(file_save + f'pca_{term}', 'wb') as file: - pickle.dump(simu.pca, file) - np.savez(file_save + term, **simu_dico) - print(f"{term} saved") - del simu - -""" -#file #Select the file where the prepared simu was saved -#var #Select the var you want to forecast -def load_ts(file,var): - dico = np.load(file+f"/{var}.npz",allow_pickle=True) - dico = {key: dico[key] for key in dico.keys()} - df = pd.DataFrame(dico["ts"],columns=[f"{var}-{i+1}" for i in range(np.shape(dico["ts"])[1])]) - with open(file+f"/pca_{var}", 'rb') as file: - dico["pca"] = pickle.load(file) - return df,dico -""" - -#file_load #select the file of the prepared simulation -#term #select the feature you want to forecast -#id_ #same as in prepare function -#steps #Number of years you want to forecast -#file_save #File in which you want to save the predictions - -def jump(file_load,term,id_,steps): - df,infos = load_ts(file_load,term) #load dataframe and infos - simu_ts = Predictions(id_,term,df,infos) #create the class to predict - print(f"{term} time series loaded") - y_hat, y_hat_std, metrics = simu_ts.Forecast(len(simu_ts),steps) #Forecast - print(f"{term} time series forcasted") - n = len(simu_ts.info["pca"].components_) #Reconstruct n predicted components - predictions_zos = simu_ts.reconstruct(y_hat,n,begin=len(simu_ts)) - print(f"{term} predictions reconstructed") - np.save(f"/data/mtissot/simuPred/predictions{term}.npy", predictions_zos) #Save - print(f"{term} predictions saved to numpy") - - -def emulate(simu_path,steps,id_,ye,start,end,comp,file_simu,file_pred): - for term in ["zos","so","thetao"]: - print(f"Preparing {term}...") - prepare(term,simu_path,id_, ye, start, end, comp, file_simu) - print() - print(f"Forecasting {term}...") - jump(file_simu,term,id_,steps) - print() - -if '__main__': - - #parser = argparse.ArgumentParser(description="Description of your script") - #parser.add_argument("--ye", type=bool, help="Transform monthly simulation to yearly simulation") - #parser.add_argument("--start", type=int, help="Start of the simulation") - #parser.add_argument("--end", type=int, help="End of the simulation") - #parser.add_argument("--comp", type=float, help="Explained variance ratio for the pca") - #parser.add_argument("--f", type=str, help="File to save prepared simulation") - - #args = parser.parse_args() - """ - # LAUNCH FOR SO - THETAO - ZOS - term = "so" - print(f"Preparing {term}...") - - simu_path = "/scratchu/mtissot/SIMUp6Y" - id_ = "106" - ye = True - start = 25 - end = 65 - comp = 0.9 - file = "/data/mtissot/simuPrepared/" - prepare(term,simu_path,id_, ye, start, end, comp, file) - - print() - print(f"Forecasting {term}...") - file_load = file - steps = 30 - file_save = f'/data/mtissot/simuPred/predictions{term}.npy' - jump(file,term,id_,steps,file_save) -""" - simu_path = "/scratchu/mtissot/SIMUp6Y" - steps = 30 - id_ = "106" - ye = True - start = 25 - end = 65 - comp = 0.9 - file_simu = "/data/mtissot/simuPrepared/" - emulate(simu_path,steps,id_,ye,start,end,comp,file_simu) diff --git a/.ipynb_checkpoints/main_forecast-checkpoint.py b/.ipynb_checkpoints/main_forecast-checkpoint.py deleted file mode 100644 index 56f74ba..0000000 --- a/.ipynb_checkpoints/main_forecast-checkpoint.py +++ /dev/null @@ -1,65 +0,0 @@ -import numpy as np -import pandas as pd -import os -import pickle -import sys -import random -import argparse -sys.path.insert(0,"../lib/") -from forecast import Predictions, Simulation, load_ts - - -file_simu_prepared = "/data/mtissot/spinup_data/simus_prepared" -file_simu_predicted = "/data/mtissot/spinup_data/simus_predicted" - - -def prepare(term,simu_path, start, end, ye, comp): - simu = Simulation(path=simu_path,start=start,end=end,ye=ye,comp=comp,term=term) #Load yearly or monthly simulations - print(f"{term} loaded") - simu.prepare() #Prepare simulations : start to end - removeClosedSeas - (removeSSCA) - standardize - to numpy - print(f"{term} prepared") - simu.applyPCA() #Exctract time series through PCA - print(f"PCA applied on {term}") - simu.save(file_simu_prepared,term) #Create dico and save: time series - mask - desc -(ssca) - cut(=start) - x_size - y_size - (z_size) - shape - print(f"{term} saved at {file_simu_prepared}/{term}") - del simu #Clean RAM - -def jump(term,steps): - df,infos = load_ts(f"{file_simu_prepared}/{term}",term) #load dataframe and infos - simu_ts = Predictions(term,df,infos) #create the class to predict - print(f"{term} time series loaded") - y_hat, y_hat_std, metrics = simu_ts.Forecast(len(simu_ts),steps) #Forecast - print(f"{term} time series forcasted") - n = len(simu_ts.info["pca"].components_) #Reconstruct n predicted components - predictions_zos = simu_ts.reconstruct(y_hat,n,begin=len(simu_ts)) - print(f"{term} predictions reconstructed") - np.save(f"{file_simu_predicted}/{term}.npy", predictions_zos) #Save - print(f"{term} predictions saved at {file_simu_predicted}") - del simu_ts - -def emulate(simu_path,steps,ye,start,end,comp): - for term in ["zos","so","thetao"]: - print(f"Preparing {term}...") - prepare(term,simu_path, ye, start, end, comp) - print() - print(f"Forecasting {term}...") - jump(term,steps) - print() - -if __name__ == '__main__': - - #simu_path = "/scratchu/mtissot/SIMUp6Y" - parser = argparse.ArgumentParser(description="Emulator") - parser.add_argument("--path", type=str, help= "Enter the simulation pathn") #Path - parser.add_argument("--ye", type=bool, help= "Transform monthly simulation to yearly simulation") #Transform monthly simulation to yearly simulation - parser.add_argument("--start", type=int, help = "Start of the training") #Start of the simu : 0 to keep spin up / t to cut the spin up - parser.add_argument("--end", type=int, help = "End of the training") #End of the simu (end-strat = train len) - parser.add_argument("--steps", type=int, help = "Number of steps to emulate") #Number of years you want to forecast - parser.add_argument("--comp", type=float, help="Explained variance ratio for the pca") #Explained variance ratio for the pca - args = parser.parse_args() - - emulate(simu_path=args.path,steps=args.steps,ye=args.ye,start=args.start,end=args.end,comp=args.comp) - - #update_restart_files - - #python SpinUp/jumper/main/main_forecast.py --ye True --start 25 --end 65 --comp 0.9 --steps 30 --path /scratchu/mtissot/SIMUp6Y diff --git a/.ipynb_checkpoints/main_restart-checkpoint.py b/.ipynb_checkpoints/main_restart-checkpoint.py deleted file mode 100644 index 604d772..0000000 --- a/.ipynb_checkpoints/main_restart-checkpoint.py +++ /dev/null @@ -1,69 +0,0 @@ -import numpy as np -import pandas as pd -import matplotlib.pyplot as plt -import os -import pickle -import sys -import random -import argparse -sys.path.insert(0,"/home/mtissot/SpinUp/jumper/lib") -import restart -import xarray as xr - -def update_restart_slice(restart_file,restart_name,mask_file): -#restart file "/thredds/idris/work/ues27zx/Restarts/" mask file '/thredds/idris/work/ues27zx/eORCA1.4.2_mesh_mask_modJD.nc' - """ - Update a restart file with new predictions and related variables. - - Parameters: - restart_file (str) : Path to the existing restart file. - restart_name (str) : Name of the restart file. - file_mask (str) : Path to the mask file. - - Returns: - None - """ - restart_array = xr.open_dataset(restarts_file+restart_name,decode_times=False) #load restart file - mask_array = xr.open_dataset(mask_file,decode_times=False) #load mask file - zos_new,so_new,thetao_new = restart.load_predictions() #load ssh, so and thetao predictions - restart.update_pred(restart_array,zos_new,so_new,thetao_new) #update restart with ssh, so and thetao predictions - e3t_new = restart.update_e3tm(restart_array,mask_array) #update e3tm and gete e3t - deptht_new = restart.get_deptht(restart_array,mask_array) #get new deptht for density - restart.update_rhop(restart_array,mask_array,deptht_new) #update density - restart.update_v_velocity(restart_array,mask_array,e3t_new[0]) #update meridional velocity - restart.update_u_velocity(restart_array,mask_array,e3t_new[0]) #update zonal velocity - array = array.rename_vars({'xx': 'x','yy':'y'}) #inverse transformation of x and y vars - Restart.to_netcdf(restarts_file+restart_name) # save file - - -#PAs EU LE TEMPS D'ESSAYER -def update_Restarts(restarts_file,mask_file,jobs=10) : - """ - Update multiple restart files in parallel. - - Parameters: - restarts_file (str) : Path to the directory containing restart files. - mask_file (str) : Path to the mask file. - jobs (int, optional) : Number of parallel jobs to run. default 10. - - Returns: - None - """ - restart_names = restart.getRestartFiles(restarts_file) # SUPER LONG PEUT ETRE LE FAIR EN BASH OU ERREUR - Parallel(jobs)(delayed(update_restart_slice)(restarts_file,f,mask_file) for file in restart_names)) - - - - -if __name__ == '__main__': - - parser = argparse.ArgumentParser(description="Update of restart files") - parser.add_argument("--restarts_file", type=str, help= "adress of restart files") - parser.add_argument("--mask_file", type=str, help= "adress of mask file") - args = parser.parse_args() - - update_Restarts(restarts_file=args.restarts_file,mask_file=args.mask_file) - - #update_restart_files - - #python SpinUp/jumper/main/main_restart.py --restarts_file '/thredds/idris/work/ues27zx/eORCA1.4.2_mesh_mask_modJD.nc' --mask_file '/thredds/idris/work/ues27zx/eORCA1.4.2_mesh_mask_modJD.nc' diff --git a/.ipynb_checkpoints/restart-checkpoint.py b/.ipynb_checkpoints/restart-checkpoint.py deleted file mode 100644 index a837727..0000000 --- a/.ipynb_checkpoints/restart-checkpoint.py +++ /dev/null @@ -1,258 +0,0 @@ -import numpy as np -import xarray as xr -import densite -import matplotlib.pyplot as plt - -def getXYslice(array): - """ - Given a Restart array with 'DOMAIN_position_first' and 'DOMAIN_position_last' attributes, - this function calculates and returns slices for x and y dimensions. - - Parameters: - array (xarray.DataArray) : Restart file - - Returns - x_string (slice dtype=float) : range of x positions - y_string (slice dtype=float) : range of y positions - """ - First = array.DOMAIN_position_first - Last = array.DOMAIN_position_last - x_slice = slice(First[0]-1,Last[0]) - y_slice = slice(First[1]-1,Last[1]) - return x_slice, y_slice - - -def toXarray(var,name,dep=True,fillna=True): - """ - Converts a numpy array into an xarray DataArray and replace nan values by 0 to obtain the same data format as in restart files. - - Parameters: - var (numpy array) : The array to be converted. - name (str) : The name to be assigned to the resulting xarray DataArray. - dep (bool, optional) : If True, indicates that the array represents dependent variables. - Defaults to True. - fillna (bool, optional) : If True, fills NaN values with 0 after conversion. - Defaults to True. - - Returns: - array (xarray.DataArray): An xarray DataArray object representing the input numpy array. - """ - if dep: - if len(np.shape(var))==4: - array = xr.DataArray(var, dims=("time_counter", "nav_lev", "y", "x"), name=name) - elif len(np.shape(var))==3: - array = xr.DataArray(var, dims=("nav_lev", "y", "x"), name=name) - else: - if len(np.shape(var))==3: - array = xr.DataArray(var, dims=("time_counter", "y", "x"), name=name) - elif len(np.shape(var))==2: - array = xr.DataArray(var, dims=("y", "x"), name=name) - return array.fillna(0) - -def update_pred(array,zos,so,thetao): - """ - Update the Restart file with the predictions. We use the same prediction step for now and before steps (e.g sshn/sshb). - We also update the surface so (sss_m) and thetao (sst_m) - - Parameters: - array (xarray.Dataset) : Restart file - zos (numpy.ndarray) : Sea surface height for the current time step - (t,y,x). - so (numpy.ndarray) : Salinity for the current time step - (t,z,y,x). - thetao (numpy.ndarray) : Potential temperature for the current time step - (t,z,y,x). - - Returns: - None - """ - x_slice,y_slice = getXYslice(array) - #Changement des variables de restart now - array['sshn'] = toXarray(zos[-1:,y_slice,x_slice],"sshn",dep=False) - array['sn'] = toXarray(so[-1:,:,y_slice,x_slice],"sn") - array['tn'] = toXarray(thetao[-1:,:,y_slice,x_slice],"tn") - #Changement des variables de restart before - array['sshb'] = toXarray(zos[-1:,y_slice,x_slice],"sshb",dep=False) - array['sb'] = toXarray(so[-1:,:,y_slice,x_slice],"sb") - array['tb'] = toXarray(thetao[-1:,:,y_slice,x_slice],"tb") - #Changement des variables de restart mean - array['sss_m'] = toXarray(so[-1:,0,y_slice,x_slice],"sss_m",dep=False) - array['sst_m'] = toXarray(thetao[-1:,0,y_slice,x_slice],"sst_m",dep=False) - #return array - -#E3T_M diff E3T IL Y A BIEN UNE DIMENSION DE PROFONDEUR ?????????.?? -#AJOUTER LE CALCUL DE DEPTHT -def update_e3tm(mask_array,array): - """ - Update e3t_m : the cell thickness of the top layer. - Get e3t : the cell thickness for all dimensions, we can use e3t to get the new bathymetry and to update u and velocities - e3t = e3t_initital * (1+tmask4D*np.expand_dims(np.tile(ssh*ssmask/(bathy+(1-ssmask)),(75,1,1)),axis=0)) - Get deptht : The depth of each cell on grid. we use it to update the density rhop. - - Parameters: - mask_array (xarray.Dataset) : Mask array containing tmask values - array (xarray.Dataset) : Restart file - - Returns: - e3t (numpy.ndarray) : Updated array of z-axis cell thicknesses. - depth (int) : The depth value, which is currently set to 0. - """ - x_slice,y_slice = getXYslice(array) - e3t_ini = array.variables['e3t_ini'] # initial z axis cell's thickness on grid T - (t,z,y,x) - ssmask = np.max(mask_array.tmask.values[:,:,y_slice,x_slice],axis=1) # continent mask - (t,y,x) - bathy = np.ma.sum(e3t_ini,axis=1) # inital Bathymetry - (t,y,x) - ssh = array.variables['ssh_m'] # Sea Surface Height - (t,y,x) - tmask = mask_array.tmask.values[:,:,y_slice,x_slice] # bathy mask on grid T - (t,z,y,x) - e3t = e3t_ini*(1+tmask*np.expand_dims(np.tile(ssh*ssmask/(bathy+(1-ssmask)),(75,1,1)),axis=0)) # - (t,z,y,x) - depth=0 # - (t,z,y,x) - - array['e3t_m'] = toXarray(e3t[:,0],"e3t_m",dep=False) # - (t,y,x) - #e3t_m = e3t_ini[:,0]*(1+tmask4D[:,0]*ssh*ssmask/(bathy+(1-ssmask))) - #newbathy = np.ma.sum(e3t,axis=1) - return e3t, depth - -def update_rhop(array,thetao,so): - """ - Update the rhop variable in the array based on temperature (thetao) and salinity (so). - - Parameters: - array (xarray.Dataset) : Restart file - thetao (numpy.ndarray) : Temperature predictions - so (numpy.ndarray) : Salinity predictions - - Returns: - None - """ - x_slice,y_slice = getXYslice(array) - rhop = densite.sigma_n(thetao[-1:,:,y_slice,x_slice],so[-1:,:,y_slice,x_slice],n=0) #- (t,z,y,x) - array['rhop'] = toXarray(rhop,"rhop") - - -def plot_density_infos(array,e3t_new,min_=1017): - """ - Plot density (rhop) information: surface density, density as a function of depth, and the difference in density as a function of depth. - The difference provides insights into density errors, particularly where it decreases instead of increasing - - Parameters: - array (xarray.Dataset) : Restart file contains density informations - e3t_new (numpy.array) : Array representing the new z-axis cell thickness : the distance between two grid points. - min_ (float, optional) : Minimum value for color scale. Defaults to 1017. - - Returns: - None - """ - fig, axes = plt.subplots(1, 3, figsize=(18, 4)) - a = axes[0].pcolor(array["rhop"][0,0],vmin=min_) - fig.colorbar(a, ax=axes[0]) - - rhop = array['rhop'].where(array["rhop"][0] != 0., np.nan) - diff_rhop = np.diff(rhop.isel(time_counter=0), axis=0) / e3t_new[0,:-1] - - for i in range(array["rhop"].sizes['x']): - for j in range(array["rhop"].sizes['y']): - rhop.isel(time_counter=0, x=i, y=j).plot(ax=axes[1]) - axes[2].plot(diff_rhop[:,j,i]) - - axes[0].set_title('Surface density') - axes[1].set_title('Density as a function of depth') - axes[2].set_title('Diff Density as a function of depth') - - -# FONCTIONNE MAIS A VOIR -def regularize_rho(rho): - """ - Regularize the rho variable to ensure the density is alway superieur or equal at a lower depth. - If the value found at k-1 depth is lower than the value found at k. k-1 value is replaces by k value. - - Parameters: - rho (numpy.ndarray): Array representing density with dimensions (time, depth, latitude, longitude). - - Returns: - numpy.ndarray : Regularized array of density. - """ - t,z,y,x = np.shape(rho) - for i in range(x): - for j in range(y): - for k in range(z-1): - if rho[0,k,j,i]>rho[0,k+1,j,i]: - rho[0,k+1,j,i] = rho[0,k,j,i] - return rho - - -#ERREYUUU -def update_v_velocity(array,maskarray,e3t_new): #e3t_new = maskarray["e3t_0"].values[0,:,y_slice,x_slice] - """ - Update the v-component velocity array. - - Parameters: - array (xarray.Dataset) : Restart file. - maskarray (xarray.Dataset) : Mask dataset. - e3t_new (numpy.ndarray) : Updated array of z-axis cell thicknesses. - - Returns: - None - """ - x_slice,y_slice = getXYslice(array) - vn = array.variables['vn'] #initial v velocity of the restart - (t,z,y,x) - e1t = maskarray["e1t"].values[0,y_slice,x_slice] #initial y axis cell's thickness on grid T - (y,x) - vmask = maskarray["vmask"].values[0,:,y_slice,x_slice] #bathy mask on grid V - (z,y,x) - ff_f = maskarray["ff_f"].values[0,y_slice,x_slice] #corriolis force - (y,x) - rhop_new = array.variables['rhop'] #updated density - (t,z,y,x) - - diff_x = -np.roll(rhop_new,shift=1,axis=2) + rhop_new # - (t,z,y,x) - v_new = 9.81/(rhop_new*ff_f) * np.cumsum(diff_x*e3t_new/e1t,axis=1) # v without V_0 - (t,z,y,x) - #v_new = add_bottom_velocity(vn.values,v_new.values,vmask) # add V_0 - (t,z,y,x) - - #array['vn'] = toXarray(vn_new,"vn") - #array['vb'] = toXarray(vn_new,"vb") - #array['ssv_m'] = toXarray(vn_new[:,0],"vb",dep=False) - return v_new - -def update_u_velocity(array,maskarray,e3t_new): - """ - Update the v-component velocity array. - - Parameters: - array (xarray.Dataset) : Restart file. - maskarray (xarray.Dataset) : Mask dataset. - e3t_new (numpy.ndarray) : Updated array of z-axis cell thicknesses. - - Returns: - None - """ - x_slice,y_slice = getXYslice(array) - un = array.variables['un'] #initial u velocity of the restart - (t,z,y,x) - e2t = maskarray["e2t"].values[0,y_slice,x_slice] #initial x axis cell's thickness on grid T - (y,x) - umask = maskarray["umask"].values[0,:,y_slice,x_slice] #bathy mask on grid U - (z,y,x) - ff_f = maskarray["ff_f"].values[0,y_slice,x_slice] #corriolis force - (y,x) - rhop_new = array.variables['rhop'] #updated density - (t,z,y,x) - - diff_y = np.roll(rhop_new,shift=-1,axis=2) - rhop_new # - (t,z,y,x) - u_new = 9.81/(rhop_new*ff_f) * np.cumsum(diff_y*e3t_new/e2t,axis=1) # u without U_0 - (t,z,y,x) - #un_new = add_bottom_velocity(un.values,u_new.values,umask) # add U_0 - (t,z,y,x) - - #array['un'] = toXarray(un_new,"un") - #array['ub'] = toXarray(un_new,"ub") - #array['ssu_m'] = toXarray(un_new[:,0],"ssu_m",dep=False) - return u_new - -#ERREUR MAUVAIS -def add_bottom_velocity(v_restart,v_update,mask): - """ - Add bottom velocity values to the updated velocity array. - - Parameters: - v_restart (numpy.array) : Restart velocity array - (t,z,y,x) - v_update (numpy.array) : New velocity array without the initial condition - (t,z,y,x) - mask (numpy.array) : Mask array indicating presence of water cells - (z,y,x) - - Returns: - v_restart (numpy.array): Velocity array with bottom velocity values added. - """ - time,deptht,y,x = np.shape(v_update) - for i in range(x): - for j in range(y): - v0=False - for k in range(deptht)[::-1]: # From the bottom to the top : - if mask[k,j,i]==1 and v0==False: # If first cell of sea in the water column - v0 = v_restart[-1,k,j,i] # set V0 to the corresponding value - elif mask[k,j,i]==1 and v0!=False: # If cell is not in the bottom - v_restart[-1,k,j,i] = v0 + v_update[-1,k,j,i] # cell is equal to new v cell + v0 - return v_restart diff --git a/lib/.ipynb_checkpoints/forecast-checkpoint.py b/lib/.ipynb_checkpoints/forecast-checkpoint.py deleted file mode 100644 index 2e30de8..0000000 --- a/lib/.ipynb_checkpoints/forecast-checkpoint.py +++ /dev/null @@ -1,697 +0,0 @@ -import os -import copy -import random -import numpy as np -import xarray as xr -import pandas as pd -import matplotlib.pyplot as plt -import sklearn.decomposition -from sklearn.decomposition import PCA -import joblib -from joblib import Parallel, delayed, parallel_backend -from sklearn.preprocessing import StandardScaler -from sklearn.gaussian_process import GaussianProcessRegressor -from sklearn.gaussian_process.kernels import RBF, ExpSineSquared, RationalQuadratic, WhiteKernel, DotProduct#, Matérn -import pickle -import warnings -warnings.filterwarnings("ignore") - - -#file #Select the file where the prepared simu was saved -#var #Select the var you want to forecast -def load_ts(file,var): - """ - Load time series data from the file where are saved the prepared simulations. - This function is used the get the prepared data info in order to instanciate a prediction class - - Parameters: - file (str): The path to the file containing the time series data. - var (str) : The variable to be loaded. - - Returns: - tuple: A tuple containing: - - df (DataFrame): DataFrame containing the time series data. - - dico (dict): A dictionary containing all informations on the simu (pca, mean, std, time_dim)... - """ - dico = np.load(file+f"/{var}.npz",allow_pickle=True) - dico = {key: dico[key] for key in dico.keys()} - df = pd.DataFrame(dico["ts"],columns=[f"{var}-{i+1}" for i in range(np.shape(dico["ts"])[1])]) - with open(file+f"/pca_{var}", 'rb') as file: - dico["pca"] = pickle.load(file) - return df,dico - -################################## -## ## -## LOAD AND PREPARE A SIMU ## -## ## -################################## - -class Simulation: - - """!!!Modified version where we apply a script to get yearly average for the simu before!!!""" - - """ - A class for loading and preparing simulation data. - - Attributes: - path (str) : The path to the simulation data. - term (str) : The term for the simulation. - files (list) : List of files related to the simulation. - start (int) : The start index for data slicing. - end (int) : The end index for data slicing. - ye (bool) : Flag indicating whether to use ye or not. - comp (float) : The comp value for the simulation. - len (int) : The length of the simulation. - desc (dict) : A dictionary containing descriptive statistics of the simulation data. - time_dim (str) : The name of the time dimension. - y_size (int) : The size of the y dimension. - x_size (int) : The size of the x dimension. - z_size (int or None) : The size of the z dimension, if available. - shape (tuple) : The shape of the simulation data. - simulation (xarray.DataArray) : The loaded simulation data - """ - - def __init__(self,path,term,start=0,end=None,comp=0.9,ye=True,ssca=False): #choose jobs 3 if 2D else 1 - """ - Initialize Simulation with specified parameters. - - Parameters: - path (str) : The path to the simulation data. - term (str) : The term for the simulation. - start (int, optional) : The start index for data slicing. Defaults to 0. - end (int, optional) : The end index for data slicing. Defaults to None. - comp (float, optional) : The comp value for the simulation. Defaults to 0.9. - ye (bool, optional) : Flag indicating whether to use ye or not. Defaults to True. - ssca (bool, optional) : Flag indicating whether ssca is used. Defaults to False. #Not used in this class - """ - self.path = path - self.term = term - self.files = Simulation.getData(path,term) - self.start = start - self.end = end - self.ye = ye - self.comp = comp - self.len = 0 - self.desc = {} - self.getAttributes() #self time_dim, y_size, x_size, - self.getSimu() #self simu , desc {"mean","std","min","max"} - - #### Load files and dimensions info ### - - def getData(path,term): - """ - Get the files related to the simulation in the right directory - - Parameters: - path (str): The path to the simulation data. - term (str): The term for the simulation. - zos -> sea surface height (also ssh) - (t,y,z) - so -> salinity - (t,z,y,x) - thetao -> temperature - (t,z,y,x) - - Returns: - list: List of files related to the simulation. - """ - grid = [] - for file in sorted(os.listdir(path)): - if term+"." in file: #add param!="" - grid.append(path+"/"+file) - return grid - - def getAttributes(self): - """ - Get attributes of the simulation data. - """ - array = xr.open_dataset(self.files[-1], decode_times=False,chunks={"time": 200, "x":120}) - self.time_dim = list(array.dims)[0] - self.y_size = array.sizes['y'] - self.x_size = array.sizes['x'] - if "deptht" in array[self.term].dims: - self.z_size = array.sizes['deptht'] - self.shape = (self.z_size,self.y_size,self.x_size) - elif "olevel" in array[self.term].dims: - self.z_size = array.sizes['olevel'] - self.shape = (self.z_size,self.y_size,self.x_size) - else: - self.z_size = None - self.shape = (self.y_size,self.x_size) - #self.getSSCA(array) - - #### Load simulation ### - - def getSimu(self): - """ - Load simulation data. - """ - #array = list(Parallel(jobs)(delayed(self.loadFile)(file) for file in self.files)) - array = [self.loadFile(file) for file in self.files if self.len self.end: - # array = array[0:self.end-self.len] - # self.len = self.len + array.sizes[self.time_dim] - #else: - # self.len = self.len + array.sizes[self.time_dim] - return array.load() - - - ######################### - # prepare simulation # - ######################### - - def prepare(self,stand=True): - """ - Prepare the simulation data selecting indices from start to end, updating length and obtaining statistics, - standardizing if specified. - - Parameters: - stand (bool, optional): Flag indicating whether to standardize the simulation data. Defaults to True. - """ - if self.end is not None: - self.simulation = self.simulation[self.start:self.end] - else: - self.simulation = self.simulation[self.start:] - self.len = np.shape(self.simulation)[0] - #self.removeClosedSeas() - self.desc.update({"mean":np.nanmean(self.simulation),"std":np.nanstd(self.simulation), - "min":np.nanmin(self.simulation),"max":np.nanmax(self.simulation)}) - if stand: - self.standardize() - self.simulation = self.simulation.values - - def getSSCA(self,array): - """ - Extract the seasonality data from the simulation. Not used : we import yearly data - - Parameters: - array (xarray.Dataset): The last dataset containing simulation data in the simulation file. - """ - array = array[self.term].values - n = np.shape(array)[0]//12 *12 - array = array[-n:] - ssca = np.array(array).reshape((n//12, 12)+ self.shape) #np.array(array[self.term]) - ssca = np.mean(ssca, axis=0) - ssca_extended = np.tile(ssca, (n//12, 1, 1)) - self.desc["ssca"] = sscad - if self.ye==False: - self.simulation = array - ssca_extended - - - def removeClosedSeas(self): - """ - Remove closed seas from the simulation data. Not used : we don't have the specific mask to fill with predictions - """ - array = self.simulation - y_range = [slice(240, 266),slice(235, 276),slice(160, 201)] #mer noir, grands lacs, lac victoria - x_range = [slice(195, 213),slice(330, 351),slice(310, 325)] - for y,x in zip(y_range,x_range): - array = array.where((array['x'] < x.start) | (array['x'] >= x.stop) | - (array['y'] < y.start) | (array['y'] >= y.stop),drop=True) - self.simulation = array - - def standardize(self): - """ - Standardize the simulation data. - """ - self.simulation = (self.simulation - self.desc["mean"]) / (2*self.desc["std"]) - - ################## - # Compute PCA # - ################## - - def applyPCA(self): - """ - Apply Principal Component Analysis (PCA) to the simulation data. - """ - array = self.simulation.reshape(self.len,-1) - self.bool_mask = np.asarray(np.isfinite(array[0,:]), dtype=bool) - array_masked = array[:,self.bool_mask] - pca = PCA(self.comp, whiten=False) - self.components = pca.fit_transform(array_masked) - self.pca = pca - - def getPC(self,n): - """ - Get principal component map for the specified component. - - Parameters: - n (int) : component used for reconstruction. - - Returns: - (numpy.ndarray): The principal component map. - """ - map_ = np.zeros((np.product(self.shape)), dtype=float) - map_[~self.bool_mask] = np.nan - map_[self.bool_mask] = self.pca.components_[n] - map_ = map_.reshape(self.shape) - map_ = 2 * map_ * self.desc["std"] + self.desc["mean"] - return map_ - - - ############################### NOT USED IN THE MAIN.PY ############################### - def rmseOfPCA(self,n): - reconstruction = self.reconstruct(n) - rmse_values = self.rmseValues(reconstruction) * 2 * self.desc["std"] - rmse_map = self.rmseMap(reconstruction) * 2 * self.desc["std"] - return reconstruction, rmse_values, rmse_map - - def rmseValues(self,reconstruction): - truth = self.simulation# * 2 * self.desc["std"] + self.desc["mean"] - rec = reconstruction # * 2 * self.desc["std"] + self.desc["mean"] - if len(np.shape(truth))==3: - n = np.count_nonzero(~np.isnan(truth[0])) - rmse_values = np.sqrt(np.nansum((truth-rec)**2,axis=(1,2))/n) - else: - n = np.count_nonzero(~np.isnan(self.simulation[0]),axis=(1,2)) - rmse_values = np.nansum((truth-rec)**2,axis=(2,3)) - for i in range(len(n)): - rmse_values[:,i] = rmse_values[:,i]/n[i] - rmse_values = np.sqrt(rmse_values) - return rmse_values - - def rmseMap(self,reconstruction): - t = self.len - truth = self.simulation - reconstruction = reconstruction - return np.sqrt(np.sum((self.simulation[:]-reconstruction)**2,axis=0)/t) - - def reconstruct(self, n): - """ - Reconstruct data using a specified number of principal components. - - Parameters: - n (int) : The number of components used for reconstruction. - - Returns: - (numpy.array) : The reconstructed data. - """ - rec = [] - #int_mask = # Convert the boolean mask to int mask once - self.int_mask = self.bool_mask.astype(np.int32).reshape(self.shape) # Reshape to match the shape of map_ - for t in range(len(self.components)): - map_ = np.zeros(self.shape, dtype=np.float32) - arr = np.array(list(self.components[t, :n]) + [0] * (len(self.pca.components_) - n)) - map_[self.int_mask==1] = self.pca.inverse_transform(arr) - map_[self.int_mask==0] = np.nan - rec.append(map_) - return np.array(rec) - - ####################################################################################################### - - ################## - # Save in db # - ################## - - def makeDico(self): - """ - Create a dictionary containing simulation data, descriptive statistics, and other relevant information. - - Returns: - (dict) : A dictionary containing simulation data and information. - """ - dico = dict() - dico["ts"] = self.components.tolist() - dico["mask"] = self.bool_mask - dico["desc"] = self.desc - dico["cut"] = self.start - dico["x_size"]= self.x_size - dico["y_size"]= self.y_size - if self.z_size is not None: - dico["z_size"]= self.z_size - dico["shape"]= self.shape - return dico - - def save(self,file,term): - """ - Save the simulation data and information to files. - - Parameters: - file (str): The path to the directory where the files will be saved. - term (str): The term used in the filenames. - """ - simu_dico = self.makeDico() - if not os.path.exists(file): #save infos - os.makedirs(file) - with open(f"{file}/{term}/pca_{term}", 'wb') as f: - pickle.dump(self.pca, f) - np.savez(f"{file}/{term}/{term}", **simu_dico) - - -################################# -## ## -## Forecast & reconstruct ## -## ## -################################# - - -class Predictions: - - """ - Class for forecasting and reconstructing time series data using Gaussian Processes. - - Attributes: - var (str) : The variable name. - data (DataFrame) : The time series data. - info (dict) : Additional information. - gp (GaussianProcessRegressor) : The Gaussian Process regressor. - w (int) : Width for moving average and metrics calculation. - """ - - def __init__(self,var,data=None,info=None,gp=None,w=12): - """ - Initialize the Predictions object. - - Parameters: - var (str) : The variable name. - data (DataFrame) : The time series data. - info (dict) : Additional information. - gp (GaussianProcessRegressor) : The Gaussian Process regressor. - w (int) : Width for moving average and metrics calculation. - """ - self.var = var - self.gp = Predictions.defineGP() if gp is None else gp - self.w = w - self.data = data - self.info =info - self.info["desc"] = self.info["desc"].item() - self.len_ = len(self.data) - - def __len__(self): - return len(self.data) - - ################## - # Forecast # - ################## - - @staticmethod - def defineGP(): - """ - Define Gaussian Process regressor with specified kernel. We use : - - a long term trend kernel that contains a Dot Product with sigma_0 = 0, for the linear behaviour. - - an irregularities_kernel for periodic patterns CHANGER 5/45 1/len(data)? - - a noise_kernel - We also set a n_restarts_optimizer to optimize hyperparameters - - Returns: - GaussianProcessRegressor: The Gaussian Process regressor. - """ - long_term_trend_kernel = 0.1*DotProduct(sigma_0=0.0) #+ 0.5*RBF(length_scale=1/2)# + - irregularities_kernel = 10 * ExpSineSquared(length_scale=5/45, periodicity=5/45)#0.5**2*RationalQuadratic(length_scale=5.0, alpha=1.0) + 10 * ExpSineSquared(length_scale=5.0) - noise_kernel = 2*WhiteKernel(noise_level=1)#0.1**2*RBF(length_scale=0.01) + 2*WhiteKernel(noise_level=1) - kernel = irregularities_kernel + noise_kernel +long_term_trend_kernel - return GaussianProcessRegressor(kernel=kernel, normalize_y=False,n_restarts_optimizer=8) - - - def Forecast(self,train_len,steps,jobs=1): - """ - Parallel forecast of time series data/eofs using an independent GP for each time series - - Parameters: - train_len (int) : Length of the training data. - steps (int) : Number of steps to forecast. - jobs (int, optional) : Number of parallel jobs to run. Defaults to 1. - - Returns: - A tuple containing: - - y_hats (DataFrame) : Forecasted values. - - y_stds (DataFrame) : Standard deviations of the forecasts. - - metrics (list of dict) : One dict of metrics by forecast - """ - r = Parallel(n_jobs=jobs)(delayed(self.forecast_ts)(c,train_len,steps) for c in range(1,self.data.shape[1]+1)) - y_hats = pd.DataFrame(np.array([r[i][0] for i in range(len(r))]).T, columns=self.data.columns) - y_stds = pd.DataFrame(np.array([r[i][1] for i in range(len(r))]).T, columns=self.data.columns) - metrics = [r[i][2] for i in range(len(r))] - return y_hats, y_stds, metrics - - def forecast_ts(self,n,train_len,steps=0): - """ - Forecast of one time series, function called in parallel in Forecast - - Parameters: - n (int) : Variable index. - train_len (int) : Length of the training data. - steps (int, optional) : Number of steps to forecast. Defaults to 0. - - Returns: - A tuple containing: - y_hat (array) : Forecasted values. - y_hat_std (array) : Standard deviations of the forecasts. - metrics (dict) : Dictionary of metrics defined in the corresponding function - """ - random.seed(20) - mean,std,y_train,y_test,x_train,x_pred = self.prepare(n,train_len,steps) - self.gp.fit(x_train,y_train) - y_hat,y_hat_std = self.gp.predict(x_pred,return_std=True) - y_train,y_hat,y_hat_std = y_train*2*std+mean, y_hat*2*std+mean, y_hat_std*2*std - metrics = None - if y_test is not None: - metrics = Predictions.getMetrics(2,y_hat[train_len:len(self)],y_test) - return y_hat,y_hat_std,metrics - - def prepare(self,n,train_len,steps): - """ - Prepare data for forecasting. - - Parameters: - n (int) : Variable index. - train_len (int) : Length of the training data. - steps (int) : Number of steps to forecast. - - Returns: - A tuple containing: - mean (float) : Mean of the training data. - std (float) : Standard deviation of the training data. - y_train (numpy.array): Training data. - y_test (numpy.array): Test data. - x_train (numpy.array): Training features. - x_pred (numpy.array): Prediction features. - """ - x_train = np.linspace(0,1,train_len).reshape(-1,1) - pas = x_train[1,0]-x_train[0,0] - x_pred = np.arange(0,(len(self)+steps)*pas,pas).reshape(-1,1) - y_train = self.data[self.var+"-"+str(n)].iloc[:train_len].to_numpy() - mean, std = np.nanmean(y_train), np.nanstd(y_train) - y_train = (y_train-mean)/(2.0*std) - y_test = None - if train_len self.current_score_eval] - results=[] - for simu in self.simu_test: - print(f"Processing simulation {simu.id}",end="") - if self.min_train < len(simu)-self.min_test: - train_lens = np.arange(self.min_train,len(simu)-self.min_test,self.steps) - results.append([self.evaluateProcess(simu,train_lens,process) for process in gps_test]) - print("",end="\n") - results = [(process,score) for process,score in zip(gps_test, np.sum(results,axis=0))] - self.scores_test = sorted(results, key=lambda item: item[1], reverse=True) - - - - - - diff --git a/lib/.ipynb_checkpoints/restart-checkpoint.py b/lib/.ipynb_checkpoints/restart-checkpoint.py deleted file mode 100644 index 1ac8018..0000000 --- a/lib/.ipynb_checkpoints/restart-checkpoint.py +++ /dev/null @@ -1,423 +0,0 @@ -import numpy as np -import xarray as xr -import densite -import matplotlib.pyplot as plt -import copy -import os - - -# SUPER LONG PEUT ETRE LE FAIR EN BASH OU ERREUR -def getRestartFiles(path,term):# path = "/thredds/idris/work/ues27zx/Restarts/" term = '19141231' - """ - Get the restart files of the last simulation step - - Parameters: - path (str): The path to the restarts files - term (str): year of the last simulated step - - Returns: - list: List of restart files - """ - grid = [] - for file in os.listdir(path): - if term+"." in file: - grid.append(path+"/"+file) - return grid - - -def load_predictions(): - """ - Load predicted data from saved NumPy files. - - Returns: - zos (numpy.array) : ssh sea surface height predictions - (t,y,x) - so (numpy.array) : salinity predictions - (t,z,y,x) - theato (numpy.array) : temperature predictions - (t,z,y,x) - """ - zos = np.load("/data/mtissot/simus_predicted/zos.npy") - so = np.load("/data/mtissot/simus_predicted/so.npy") - thetao = np.load("/data/mtissot/simus_predicted/thetao.npy") - return zos[-1:], so[-1:], thetao[-1:] - -def getXYslice(array): - """ - Given a Restart array with 'DOMAIN_position_first' and 'DOMAIN_position_last' attributes, - this function calculates and returns slices for x and y dimensions. - - Parameters: - array (xarray.DataArray) : Restart file - - Returns - x_string (slice dtype=float) : range of x positions - y_string (slice dtype=float) : range of y positions - """ - First = array.DOMAIN_position_first - Last = array.DOMAIN_position_last - x_slice = slice(First[0]-1,Last[0]) - y_slice = slice(First[1]-1,Last[1]) - return x_slice, y_slice - - -def toXarray(var,name,dep=True,fillna=True): - """ - Converts a numpy array into an xarray DataArray and replace nan values by 0 to obtain the same data format as in restart files. - - Parameters: - var (numpy array) : The array to be converted. - name (str) : The name to be assigned to the resulting xarray DataArray. - dep (bool, optional) : If True, indicates that the array represents dependent variables. - Defaults to True. - fillna (bool, optional) : If True, fills NaN values with 0 after conversion. - Defaults to True. - - Returns: - array (xarray.DataArray): An xarray DataArray object representing the input numpy array. - """ - if dep: - if len(np.shape(var))==4: - array = xr.DataArray(var, dims=("time_counter", "nav_lev", "y", "x"), name=name) - elif len(np.shape(var))==3: - array = xr.DataArray(var, dims=("nav_lev", "y", "x"), name=name) - else: - if len(np.shape(var))==3: - array = xr.DataArray(var, dims=("time_counter", "y", "x"), name=name) - elif len(np.shape(var))==2: - array = xr.DataArray(var, dims=("y", "x"), name=name) - return array.fillna(0) - -def update_pred(array,zos,so,thetao): - """ - Update the Restart file with the predictions. We use the same prediction step for now and before steps (e.g sshn/sshb). - We also update the surface so (sss_m) and thetao (sst_m) - - Parameters: - array (xarray.Dataset) : Restart file - zos (numpy.ndarray) : Sea surface height for the current time step - (t,y,x). - so (numpy.ndarray) : Salinity for the current time step - (t,z,y,x). - thetao (numpy.ndarray) : Potential temperature for the current time step - (t,z,y,x). - - Returns: - None - """ - x_slice,y_slice = getXYslice(array) - #Changement des variables de restart now - array['sshn'] = toXarray(zos[-1:,y_slice,x_slice],"sshn",dep=False) - array['sn'] = toXarray(so[-1:,:,y_slice,x_slice],"sn") - array['tn'] = toXarray(thetao[-1:,:,y_slice,x_slice],"tn") - #Changement des variables de restart before - array['sshb'] = toXarray(zos[-1:,y_slice,x_slice],"sshb",dep=False) - array['sb'] = toXarray(so[-1:,:,y_slice,x_slice],"sb") - array['tb'] = toXarray(thetao[-1:,:,y_slice,x_slice],"tb") - #Changement des variables de restart mean - array['sss_m'] = toXarray(so[-1:,0,y_slice,x_slice],"sss_m",dep=False) - array['sst_m'] = toXarray(thetao[-1:,0,y_slice,x_slice],"sst_m",dep=False) - #return array - - -def update_e3tm(array,mask_array): - """ - Update e3t_m : the cell thickness of the top layer. - Get e3t : the cell thickness for all dimensions, we can use e3t to get the new bathymetry and to update u and velocities - e3t = e3t_initital * (1+tmask4D*np.expand_dims(np.tile(ssh*ssmask/(bathy+(1-ssmask)),(75,1,1)),axis=0)) - Get deptht : The depth of each cell on grid. we use it to update the density rhop. - - Parameters: - mask_array (xarray.Dataset) : Mask array containing tmask values - array (xarray.Dataset) : Restart file - - Returns: - e3t (numpy.ndarray) : Updated array of z-axis cell thicknesses. - depth (int) : The depth value, which is currently set to 0. - """ - x_slice,y_slice = getXYslice(array) - e3t_ini = array.variables['e3t_ini'] # initial z axis cell's thickness on grid T - (t,z,y,x) - ssmask = np.max(mask_array.tmask.values[:,:,y_slice,x_slice],axis=1) # continent mask - (t,y,x) - bathy = np.ma.sum(e3t_ini,axis=1) # inital Bathymetry - (t,y,x) - ssh = array.variables['ssh_m'] # Sea Surface Height - (t,y,x) - tmask = mask_array.tmask.values[:,:,y_slice,x_slice] # bathy mask on grid T - (t,z,y,x) - e3t = e3t_ini*(1+np.expand_dims(np.tile(ssh*ssmask/(bathy+(1-ssmask)),(75,1,1)),axis=0))#tmask - (t,z,y,x) - e3t = e3t #+ # - (t,z,y,x) - #A COMMENTER - array['e3t_m'] = toXarray(e3t[:,0],"e3t_m",dep=False) + array.e3t_ini[:,0]*(1-ssmask) # - (t,y,x) - return e3t - -def get_deptht(array,maskarray): - """ - Calculate the depth of each vertical level on grid T in the 3D grid. - - Parameters: - array (xarray.Dataset) : The dataset containing ocean model variables. - maskarray (xarray.Dataset) : The dataset containing mask variables. - - Returns: - deptht (numpy.array) : The depth of each vertical level. - """ - x_slice,y_slice = getXYslice(array) - e3w_0 = np.array(maskarray.e3w_0)[:,:,y_slice,x_slice] #initial z axis cell's thickness on grid W - (t,z,y,x) - e3u_0 = np.array(maskarray.e3u_0)[:,:,y_slice,x_slice] #initial z axis cell's thickness on grid U - (t,z,y,x) - e3v_0 = np.array(maskarray.e3v_0)[:,:,y_slice,x_slice] #initial z axis cell's thickness on grid V - (t,z,y,x) - e3t_0 = np.array(maskarray.e3t_0)[:,:,y_slice,x_slice] #initial z axis cell's thickness on grid T - (t,z,y,x) - tmask = np.array(maskarray.tmask)[:,:,y_slice,x_slice] #grid T continent mask - (t,z,y,x) - ssh = array.variables['sshn'] #sea surface height - (t,y,x) - ssmask = tmask[:,0] #bathymetry - (t,y,x) - bathy = np.ma.sum(e3t_0,axis=1) #initial condition depth 0 - (t,z,y,x) - depth_0 = np.zeros(np.shape(e3w_0)) - depth_0[:,0] = 0.5 * e3w_0[:,0] - depth_0[:,1:] = depth_0[:,0] + np.cumsum(e3w_0[:,1:],axis=1) - deptht = depth_0 * (np.expand_dims(1+ssh/(bathy + 1 - ssmask ),axis=0) * tmask) #depth of each vertical level on grid T - (t,z,y,x) - return deptht - -def update_rhop(array,maskarray,deptht): - """ - Update the rhop variable in the array based on temperature (thetao) and salinity (so). - - Parameters: - array (xarray.Dataset) : Restart file - thetao (numpy.ndarray) : Temperature predictions - so (numpy.ndarray) : Salinity predictions - - Returns: - None - """ - x_slice,y_slice = getXYslice(array) - so = array['sn'].values - thetao = array['tn'].values - tmask = maskarray["tmask"].values[-1:,:,y_slice,x_slice] #bathy mask on grid U - (z,y,x) - - rhop, rho_insitu = get_density(so,thetao,deptht,tmask) - array['rhop'] = toXarray(rhop,"rhop") - - -def get_density(thetao,so,depth,tmask): - """ - Compute potential density referenced at the surface and density anomaly. - - Parameters: - thetao (numpy.array) : Temperature array - (t,z,y,x). - so (numpy.array) : Salinity array - (t,z,y,x). - depth (numpy.array) : Depth array - (t,z,y,x). - tmask (numpy.array) : Mask array - (t,z,y,x). - - Returns: - tuple: A tuple containing: - array: Potential density referenced at the surface. - array: Density anomaly. - """ - rdeltaS = 32.0 - r1_S0 = 0.875/35.16504 - r1_T0 = 1./40. - r1_Z0 = 1.e-4 - - EOS000 = 8.0189615746e+02 - EOS100 = 8.6672408165e+02 - EOS200 = -1.7864682637e+03 - EOS300 = 2.0375295546e+03 - EOS400 = -1.2849161071e+03 - EOS500 = 4.3227585684e+02 - EOS600 = -6.0579916612e+01 - EOS010 = 2.6010145068e+01 - EOS110 = -6.5281885265e+01 - EOS210 = 8.1770425108e+01 - EOS310 = -5.6888046321e+01 - EOS410 = 1.7681814114e+01 - EOS510 = -1.9193502195 - EOS020 = -3.7074170417e+01 - EOS120 = 6.1548258127e+01 - EOS220 = -6.0362551501e+01 - EOS320 = 2.9130021253e+01 - EOS420 = -5.4723692739 - EOS030 = 2.1661789529e+01 - EOS130 = -3.3449108469e+01 - EOS230 = 1.9717078466e+01 - EOS330 = -3.1742946532 - EOS040 = -8.3627885467 - EOS140 = 1.1311538584e+01 - EOS240 = -5.3563304045 - EOS050 = 5.4048723791e-01 - EOS150 = 4.8169980163e-01 - EOS060 = -1.9083568888e-01 - EOS001 = 1.9681925209e+01 - EOS101 = -4.2549998214e+01 - EOS201 = 5.0774768218e+01 - EOS301 = -3.0938076334e+01 - EOS401 = 6.6051753097 - EOS011 = -1.3336301113e+01 - EOS111 = -4.4870114575 - EOS211 = 5.0042598061 - EOS311 = -6.5399043664e-01 - EOS021 = 6.7080479603 - EOS121 = 3.5063081279 - EOS221 = -1.8795372996 - EOS031 = -2.4649669534 - EOS131 = -5.5077101279e-01 - EOS041 = 5.5927935970e-01 - EOS002 = 2.0660924175 - EOS102 = -4.9527603989 - EOS202 = 2.5019633244 - EOS012 = 2.0564311499 - EOS112 = -2.1311365518e-01 - EOS022 = -1.2419983026 - EOS003 = -2.3342758797e-02 - EOS103 = -1.8507636718e-02 - EOS013 = 3.7969820455e-01 - - zh = depth * r1_Z0 # depth - zt = thetao * r1_T0 # temperature - zs = np.sqrt(np.abs(so + rdeltaS ) * r1_S0 ) # square root salinity - ztm = tmask - - zn3 = EOS013*zt + EOS103*zs+EOS003 - zn2 = (EOS022*zt + EOS112*zs+EOS012)*zt + (EOS202*zs+EOS102)*zs+EOS002 - zn1 = (((EOS041*zt + EOS131*zs+EOS031)*zt + (EOS221*zs+EOS121)*zs+EOS021)*zt + ((EOS311*zs+EOS211)*zs+EOS111)*zs+EOS011)*zt + (((EOS401*zs+EOS301)*zs+EOS201)*zs+EOS101)*zs+EOS001 - zn0 = (((((EOS060*zt + EOS150*zs+EOS050)*zt + (EOS240*zs+EOS140)*zs+EOS040)*zt + ((EOS330*zs+EOS230)*zs+EOS130)*zs+EOS030)*zt + (((EOS420*zs+EOS320)*zs+EOS220)*zs+EOS120)*zs+EOS020)*zt + ((((EOS510*zs+EOS410)*zs+EOS310)*zs+EOS210)*zs+EOS110)*zs+EOS010)*zt + (((((EOS600*zs+EOS500)*zs+EOS400)*zs+EOS300)*zs+EOS200)*zs+EOS100)*zs+EOS000 - - zn = ( ( zn3 * zh + zn2 ) * zh + zn1 ) * zh + zn0 - - rhop = zn0 * ztm # potential density referenced at the surface - rho_insitu = zn * ztm # density anomaly (masked) - return rhop, rho_insitu - - -def plot_density_infos(array,e3t_new,min_=1017): - """ - Plot density (rhop) information: surface density, density as a function of depth, and the difference in density as a function of depth. - The difference provides insights into density errors, particularly where it decreases instead of increasing - - Parameters: - array (xarray.Dataset) : Restart file contains density informations - e3t_new (numpy.array) : Array representing the new z-axis cell thickness : the distance between two grid points. - min_ (float, optional) : Minimum value for color scale. Defaults to 1017. - - Returns: - None - """ - fig, axes = plt.subplots(1, 3, figsize=(18, 4)) - a = axes[0].pcolor(array["rhop"][0,0],vmin=min_) - fig.colorbar(a, ax=axes[0]) - - rhop = array['rhop'].where(array["rhop"][0] != 0., np.nan) - diff_rhop = np.diff(rhop.isel(time_counter=0), axis=0) / e3t_new[0,:-1] - - for i in range(array["rhop"].sizes['x']): - for j in range(array["rhop"].sizes['y']): - rhop.isel(time_counter=0, x=i, y=j).plot(ax=axes[1]) - axes[2].plot(diff_rhop[:,j,i]) - - axes[0].set_title('Surface density') - axes[1].set_title('Density as a function of depth') - axes[2].set_title('Diff Density as a function of depth') - - -# FONCTIONNE MAIS A VOIR -def regularize_rho(rho): - """ - Regularize the rho variable to ensure the density is alway superieur or equal at a lower depth. - If the value found at k-1 depth is lower than the value found at k. k-1 value is replaces by k value. - - Parameters: - rho (numpy.ndarray): Array representing density with dimensions (time, depth, latitude, longitude). - - Returns: - numpy.ndarray : Regularized array of density. - """ - t,z,y,x = np.shape(rho) - for i in range(x): - for j in range(y): - for k in range(z-1): - if rho[0,k,j,i]>rho[0,k+1,j,i]: - rho[0,k+1,j,i] = rho[0,k,j,i] - return rho - - -#ERREYUUU -def update_v_velocity(array,maskarray,e3t_new): #e3t_new = maskarray["e3t_0"].values[0,:,y_slice,x_slice] - """ - Update the v-component velocity array.Meridional - - Parameters: - array (xarray.Dataset) : Restart file. - maskarray (xarray.Dataset) : Mask dataset. - e3t_new (numpy.ndarray) : Updated array of z-axis cell thicknesses. - - Returns: - None - """ - x_slice,y_slice = getXYslice(array) - vn = array.copy().variables['vn'] #initial v velocity of the restart - (t,z,y,x) - e1t = maskarray["e1t"].values[0,y_slice,x_slice] #initial y axis cell's thickness on grid T - (y,x) - vmask = maskarray["vmask"].values[0,:,y_slice,x_slice] #bathy mask on grid V - (z,y,x) - ff_f = maskarray["ff_f"].values[0,y_slice,x_slice] #corriolis force - (y,x) - tmask = maskarray["tmask"].values[0,:,y_slice,x_slice] - - rhop_new = array.variables['rhop'][0] - rhop_new = rhop_new.where(tmask).values #updated density - (t,z,y,x) - - diff_x = -np.roll(rhop_new,shift=1,axis=2) + rhop_new # - (t,z,y,x) - v_new = 9.81/(rhop_new*ff_f) * np.cumsum(diff_x*e3t_new/e1t,axis=1) # v without V_0 - (t,z,y,x) - v_new = np.expand_dims(v_new, axis=0) - vn_new = add_bottom_velocity(vn.values,v_new,vmask) # add V_0 - (t,z,y,x) - - array['vn'] = toXarray(vn_new,"vn") - array['vb'] = toXarray(vn_new,"vb") - array['ssv_m'] = toXarray(vn_new[:,0],"vb",dep=False) - #return v_new,vn_new - -def update_u_velocity(array,maskarray,e3t_new): - """ - Update the v-component velocity array. Zonal - - Parameters: - array (xarray.Dataset) : Restart file. - maskarray (xarray.Dataset) : Mask dataset. - e3t_new (numpy.ndarray) : Updated array of z-axis cell thicknesses. - - Returns: - None - """ - x_slice,y_slice = getXYslice(array) - un = array.copy().variables['un'] #initial u velocity of the restart - (t,z,y,x) - e2t = maskarray["e2t"].values[0,y_slice,x_slice] #initial x axis cell's thickness on grid T - (y,x) - umask = maskarray["umask"].values[0,:,y_slice,x_slice] #bathy mask on grid U - (z,y,x) - ff_f = maskarray["ff_f"].values[0,y_slice,x_slice] #corriolis force - (y,x) - rhop_new = array.variables['rhop'] #updated density - (t,z,y,x) - tmask = maskarray["tmask"].values[-1:,:,y_slice,x_slice] - print(np.shape(tmask)) - print(np.shape(rhop_new)) - rhop_new = rhop_new.where(tmask).values[0] - - diff_y = np.roll(rhop_new,shift=-1,axis=2) - rhop_new # - (t,z,y,x) - u_new = 9.81/(rhop_new*ff_f) * np.cumsum(diff_y*e3t_new/e2t,axis=1) # u without U_0 - (t,z,y,x) - u_new = np.expand_dims(u_new, axis=0) - un_new = add_bottom_velocity(un.values,u_new,umask) # add U_0 - (t,z,y,x) - - array['un'] = toXarray(un_new,"un") - array['ub'] = toXarray(un_new,"ub") - array['ssu_m'] = toXarray(un_new[:,0],"ssu_m",dep=False) - #return u_new,un_new - -#ERREUR MAUVAIS -def add_bottom_velocity(v_restart,v_update,mask): - """ - Add bottom velocity values to the updated velocity array. - - Parameters: - v_restart (numpy.array) : Restart velocity array - (t,z,y,x) - v_update (numpy.array) : New velocity array without the initial condition - (t,z,y,x) - mask (numpy.array) : Mask array indicating presence of water cells - (z,y,x) - - Returns: - v_restart (numpy.array): Velocity array with bottom velocity values added. - """ - time,deptht,y,x = np.shape(v_update) - for i in range(x): - for j in range(y): - v0=False - for k in range(deptht)[::-1]: # From the bottom to the top : - if mask[k,j,i]==1 and v0==False: # If first cell of sea in the water column - v0 = v_restart[-1,k,j,i] # set V0 to the corresponding value - elif mask[k,j,i]==1 and v0!=False: # If cell is not in the bottom - v_restart[-1,k,j,i] = v0 + v_update[-1,k,j,i] # cell is equal to new v cell + v0 - return v_restart - - - From 8c8a1dc881049e96d02f9c964d7679706df7ab79 Mon Sep 17 00:00:00 2001 From: Matt Archer Date: Fri, 8 Nov 2024 11:31:31 +0000 Subject: [PATCH 6/8] Remove unncessary *.pyc files --- lib/__pycache__/densite.cpython-39.pyc | Bin 29761 -> 0 bytes lib/__pycache__/forecast.cpython-311.pyc | Bin 45299 -> 0 bytes lib/__pycache__/forecast.cpython-38.pyc | Bin 27099 -> 0 bytes lib/__pycache__/forecast.cpython-39.pyc | Bin 26217 -> 0 bytes lib/__pycache__/restart.cpython-39.pyc | Bin 17843 -> 0 bytes 5 files changed, 0 insertions(+), 0 deletions(-) delete mode 100644 lib/__pycache__/densite.cpython-39.pyc delete mode 100644 lib/__pycache__/forecast.cpython-311.pyc delete mode 100644 lib/__pycache__/forecast.cpython-38.pyc delete mode 100644 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zc83eKTFBM2apnyx)=Sh7uU9s3yjm}y?dya_qqqt6q}UEFQ?`l2+?j$~VV)TJ<~qK&$=+S^?>RR!L*@9}-$^AZz}u@#*gXn;?5O z0|KOMw;5gmr8s!@=K&Mx0U5`zF*;2;EkMoiOg4Q+BI}>g9mO12w<#e6vVIW>5R|{N z+e#ITFdQh+fiRz>)+WMiiYv`o0;flhPp#W2;cN?Z8 zP(i^>EJR(w4Wba>C}^;XFm%y?RS;X!;M|M?t|?3?dm9cVr6 zj7F014bv9OD+3XATF%KGbSRVOlNy9SzK?IYMvV#9Rfd4nZ%1~V9)(Ym3-r#W6=8vBEpA7If;r!Vwe?r7@ z;?hTWl?G5~5Qi)<+h(Voji-(zx1@F@_a}GaZ)-A}dNjE`Ihx%6{{R6kraJ%t From 91606de88e10d7688833895a357ad20d83416d74 Mon Sep 17 00:00:00 2001 From: Matt Archer Date: Fri, 8 Nov 2024 11:49:37 +0000 Subject: [PATCH 7/8] Add basic formatting workflow --- .github/workflows/formatting.yml | 21 +++++++++++++++++++++ 1 file changed, 21 insertions(+) create mode 100644 .github/workflows/formatting.yml diff --git a/.github/workflows/formatting.yml b/.github/workflows/formatting.yml new file mode 100644 index 0000000..de6b025 --- /dev/null +++ b/.github/workflows/formatting.yml @@ -0,0 +1,21 @@ +name: Formatting +on: + pull_request: + branches: + - main + push: + branches: + - main + +jobs: + formatting: + runs-on: ubuntu-latest + name: Code Formatting and Trailing Whitespace Check + steps: + - name: Check out code + uses: actions/checkout@v4 + + - name: Run Ruff for code formatting check + uses: astral-sh/ruff-action@v1 + with: + args: "format --check" From a77e3a15c3c8ede0757bf130d3e868fc96e5250e Mon Sep 17 00:00:00 2001 From: Matt Archer Date: Sat, 9 Nov 2024 10:46:41 +0000 Subject: [PATCH 8/8] Add pre-commit remotely --- .github/workflows/pre-commit.yml | 28 ++++++++++++++++++++++++++++ 1 file changed, 28 insertions(+) create mode 100644 .github/workflows/pre-commit.yml diff --git a/.github/workflows/pre-commit.yml b/.github/workflows/pre-commit.yml new file mode 100644 index 0000000..939764e --- /dev/null +++ b/.github/workflows/pre-commit.yml @@ -0,0 +1,28 @@ +name: Pre-commit +on: + pull_request: + branches: + - main + push: + branches: + - main + +jobs: + pre-commit: + runs-on: ubuntu-latest + steps: + - name: Checkout code + uses: actions/checkout@v3 + + - name: Set up Python + uses: actions/setup-python@v4 + with: + python-version: '3.11' # Specify the Python version you need + + - name: Install pre-commit + run: | + pip install pre-commit + + - name: Run pre-commit hooks + run: | + pre-commit run --all-files